Explore 10 python full stack developer jobs from 2 hiring companies in Pleasantville, NJ, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Full Stack Developer Jobs

Lockheed Martin

TD Bank

Remote

Hybrid

<div><h3>Security Clearance</h3><div>None</div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50168:Data & AI Enablement </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>E9854:A/AI Mch Learn Engnr Stf </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Program</h3><div>EBDT</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation.  The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies.  We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.<br><br>What You Will Be Doing:<br>In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.<br><br>Who You Are:<br>You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a solid foundation in software engineering, systems development, cloud ready infrastructure, and AI technologies. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to enhancing your skills and staying current with industry trends. You're a team player who is able to collaborate effectively with others. You're adaptable and willing to learn and mentor junior engineers, able to navigate complex technical problems independently with general guidance and support and are looking to build your skills and experience in a dynamic and fast-paced environment.<br><br>Further Information About This Opportunity:<br>US Citizenship is required for this role due to program requirements and system access.<br><br>#EBDT</div><h3>Basic Qualifications</h3><div>•	Proven full-stack software development experience with advanced Python (proficient enough to mentor others and review code), proficiency in at least two other programming languages (e.g., Java, C++, Go), and modern JavaScript frameworks (React.js, Angular).<br>•	Ability to design and validate knowledge graphs based on ontologies and integrate graph data into applications, with experience handling the entire lifecycle of an AI-powered application.<br>•	Experience with LLMs/Generative AI and Cloud Infrastructure with GitOps.<br>•	Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema), including building and managing APIs and back-end systems.<br>•	US Citizenship is required due to program requirements and system access, plus a Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field (or equivalent education/experience).<br>•	Proven experience maintaining/managing github/gitlab projects with multiple developers on it<br>•	Experience with strategic use of GenAI Coding Assistants</div><h3>Desired skills</h3><div>• Experienced in designing and validating knowledge graphs (KG) based on ontologies and the integration of graph data into applications. Expereince with KG adjacent tools and technologies (e.g. RDF, OWL, SPAQL, and Ontop).<br>• Expertise with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands.<br>• Expertise with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle<br>• 5+ years of hands-on experience with AWS services, Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage, for building, deploying and scaling applications)<br>• Expertise setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with background deploying/using Terraform/Ansible<br>• Data engineering experience<br>• Experience with production level LLM Tool Calling workflows<br>• Expert Design and delivery experience in API Development & Integration (REST, GraphQL, etc) <br>• Expertise and strategic use of GenAI Coding Assistants<br>• Excellent communication, collaboration, and cross‑functional stakeholder expereince<br>• Understanding of Lockheed Martin’s Business Area(s) - solid understanding of that area’s end‑to‑end business processes and supporting data.<br>• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Colorado, Florida, Maryland, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Cherry Hill, Grand Prairie, King of Prussia, Littleton, Orlando</div><h3>Zip</h3><div>08002, 19406, 20817, 32825, 75051, 80127</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Bethesda-MD, Cherry Hill-NJ, Grand Prairie-TX, King of Prussia-PA, Littleton-CO, Orlando-FL</div><h3>Ability to Telecommute</h3><div>Full time telecommuter</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee that will telework full-time </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $132,900  - $234,370. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $152,900  - $264,960. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

AI Full Stack Engineer – Agentic Systems &amp; Ontology

AI Full Stack Engineer

Full-stack software development with Python and other languages; knowledge graphs; API design; AI/ML; cloud; US citizenship.

<div><h3>Security Clearance</h3><div>None</div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50168:Data & AI Enablement </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>E9853:A/AI Mch Learn Engnr Sr </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Program</h3><div>EBDT</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation.  The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies.  We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.<br><br>What You Will Be Doing:<br>In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.<br><br>Who You Are:<br>You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a solid foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to enhancing your skills and staying current with industry trends. You're a team player who is able to collaborate effectively with others. You're adaptable and willing to learn and mentor junior engineers, able to navigate complex technical problems independently with general guidance and support and are looking to build your skills and experience in a dynamic and fast-paced environment.<br><br>Further Information About This Opportunity:<br>US Citizenship is required for this role due to program requirements and system access.<br><br>#EBDT</div><h3>Basic Qualifications</h3><div>• Full-stack software development experience. Proven coding/development experience with Python (proficient and can mentor others and review code) <br>• Working knowledge of LLMs and/or Generative AI (knowledge of what they are and how they are used).<br>• Demonstrated expereince with API design and specifications (REST/OpenAPI, JSON/JSON-Schema). You’ve built and managed APIs and back-end systems<br>• Experience maintaining/managing github/gitlab projects with multiple developers on it <br>• US Citizenship is required due to program requirements and system access<br>• Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience</div><h3>Desired skills</h3><div>• Expereince with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle<br>• Practical experience with production level LLM Tool Calling workflows<br>• Knowledge of Model Context Protocol<br>• Experience with Information Retrieval and Sematic discovery systems <br>• Expertise and strategic use of GenAI Coding Assistants<br>• Expereince with agent development using various agentic tools and frameworks<br>• Expereince with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)<br>• Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines)<br>• Data engineering experience<br>• Production level Information retrieval and semantic data discovery development expereince ( e.g. Experience with Vector Databases, k-NN, and Semantic Search)<br>• Proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages.<br>• Excellent communication, collaboration, and cross‑functional stakeholder expereince<br>• Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Colorado, Connecticut, Delaware, Florida, Maryland, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Dover, Fort Worth, Highlands Ranch, King of Prussia, Moorestown, Orlando, Stratford</div><h3>Zip</h3><div>06615, 08057, 19406, 19901, 20817, 32825, 76108, 80129</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Bethesda-MD, DOVER-DE, Fort Worth-TX, Highlands Ranch-CO, King of Prussia-PA, Moorestown-NJ, Orlando-FL, Stratford-CT</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee that will telework full-time </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800  - $191,820. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100  - $216,890. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

AI Full Stack Engineer Sr

Full-stack development with Python, API design (REST/OpenAPI), GitHub/GitLab, cloud deployment; US Citizenship; BS in CS/IT/Engineering or AI/ML related field; strong AI/ML knowledge; ability to mentor and collaborate.

<div><h3>Security Clearance</h3><div>None</div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50168:Data & AI Enablement </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>E9855:A/AI Mch Learn Engnr Sr Stf </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Program</h3><div>EBDT</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation.  The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML engineer to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized and accelerated agentic development and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will help facilitate training and the exploration of cutting-edge technologies.  We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.<br><br>What You Will Be Doing:<br>In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives for information retrieval. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve.  You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.<br><br>Who You Are:<br>You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a strong foundation in software engineering, systems development, cloud development and deployment, and AI technologies. You are a self-starter and your work is executed without much direction, you develop solutions to complex problems requiring ingenuity and creativity. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to developing your skills and that of the team, and staying current with industry trends. You're a team player who is able to collaborate effectively with others and is excited about the opportunity to contribute to projects and initiatives that drive innovation and improvement. You're adaptable and able to work in a dynamic and fast-paced environment.<br><br>Further Information About This Opportunity:<br>US Citizenship is required for this role due to program requirements and system access.<br><br>#EBDT</div><h3>Basic Qualifications</h3><div>• Architectural design and operational ownership of agent hosting infrastructure with focus of scalability and reliability of agentic deployments.<br>• 15+ years of progressive software development experience, with at least 10 years as a full‑stack engineer on large‑scale, production‑grade systems.<br>• Advanced Python expereince (can mentor others and influence best practices) <br>• Expertise in MLOps and cloud‑native deployments and proven track record delivering for/supporting the entire life cycle of an AI-powered application<br>• Experience with LLMs and/or Generative AI.<br>• Demonstrated strategic use of GenAI Coding Assistants to accelerate development, enforce standards, and increase team velocity.<br>• US Citizenship is required due to program requirements and system access<br>• Bachelor’s degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field or equivalent education/experience</div><h3>Desired skills</h3><div>• Enterprise‑scale LLM Tool‑Calling & Retrieval‑Augmented Generation (RAG) pipelines<br>• Proven expereince leading design and delivery experience in API Development & Integration<br>• Advanced CI/CD & GitOps – architect and govern enterprise‑wide pipelines (GitLab CI, Jenkins, ArgoCD) and automated release strategies for zero‑downtime deployments)<br>• Advanced Data engineering - built and maintained large‑scale ETL/ELT pipelines, data lakes, and relational/columnar stores (RDS, Redshift, Snowflake) that power indexing and relevance models.<br>• Advanced proficiency in at least two other languages (e.g., Java, C++, Go, Rust) with contributions to core services written in those languages.<br>• Vector and graph database expertise.<br>• Agentic/Autonomous Workflow Design – design, prototype, and operationalize AI agents that orchestrate complex data‑retrieval and decision‑making pipelines. <br>• Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders.<br>• Leadership of multiteam GitHub/GitLab repositories<br>• Strategic stakeholder engagement – regularly advises senior business leaders, external partners, and customers on technical roadmaps and risk mitigation<br>• Experienced in agile development methodologies <br>champion SAFe/LeSS practices, mentor Scrum Masters, and ensure consistent delivery across multiple feature teams)<br>• Proven thought leadership - publications, patents, or open‑source contributions in IR, LLM integration, or MLOps that influence industry best practices.<br>• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Colorado, Connecticut, Delaware, Florida, Maryland, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Dover, Fort Worth, Highlands Ranch, King of Prussia, Moorestown, Orlando, Stratford</div><h3>Zip</h3><div>06615, 08057, 19406, 19901, 20817, 32825, 76108, 80129</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Bethesda-MD, DOVER-DE, Fort Worth-TX, Highlands Ranch-CO, King of Prussia-PA, Moorestown-NJ, Orlando-FL, Stratford-CT</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee that will telework full-time </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $156,400  - $275,655. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $179,800  - $311,650. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

AI Full Stack Engineer Sr Stf

Senior AI/ML engineer with full-stack development, cloud deployment, and data/AI experience; US citizenship required; Bachelor's or higher in CS/IT/AI.

<div><h3>Security Clearance</h3><div>None</div><h3>Shift</h3><div>First </div><h3>Direct/Indirect</h3><div>Indirect </div><h3>Business Area</h3><div>Enterprise Operations </div><h3>Department</h3><div>50168:Data & AI Enablement </div><h3>Relocation/Housing Stipend Available</h3><div>No</div><h3>Job Code/Title</h3><div>E9853:A/AI Mch Learn Engnr Sr </div><h3>Job Class</h3><div>Artificial Intelligence  </div><h3>Job Category</h3><div>Experienced Professional</div><h3>Program</h3><div>EBDT</div><h3>Req Type</h3><div>Full-Time</div><h3>Job Description</h3><div>Join Lockheed Martin’s digital transformation journey as we accelerate change by responsibly embracing AI and OneLM Mission-Driven Transformation.  The Advanced Solutions team within the Data & AI Enablement Org is seeking an AI/ML Full Stack engineer or an accomplished full stack engineer looking to grow into an AI/ML engineer, to support the AI Strategy Acceleration portfolio. Teams within the portfolio focus on standardized agentic development, and ontology generation that enables semantic data discovery, reasoning, and information retrieval. The AI Strategy Acceleration Portfolio provides solutions and capabilities that underpin all AI solutions within the Advanced Solutions Division. In addition to tackling development work the team will conduct experimental work for the exploration of cutting-edge technologies.  We are committed to fostering a culture of innovation, and we're looking for an individual who shares our passion for using technology to drive positive change.<br><br>What You Will Be Doing:<br>In this role, you will work closely with a team of experts in AI, software engineering, and systems development. You will contribute to the development of innovative solutions that support the organization's goals and objectives. You will develop solutions that inform data-driven decision making and help the organization stay ahead of the curve. You will architect, deploy, and support enterprise scaled services hosted on Cloud and on-premise technologies. This role will provide you with a unique opportunity to learn and grow, mentor, and make meaningful contributions to the team's efforts.<br><br>Who You Are:<br>You are a motivated and enthusiastic AI/ML engineer/full-stack developer with a solid foundation in software engineering, systems development, cloud ready infrastructure, and AI technologies. You have a growth mindset, are curious and eager to learn about new technologies and solutions and are committed to enhancing your skills and staying current with industry trends. You're a team player who is able to collaborate effectively with others. You're adaptable and willing to learn and mentor junior engineers, able to navigate complex technical problems independently with general guidance and support and are looking to build your skills and experience in a dynamic and fast-paced environment.<br><br>Further Information About This Opportunity:<br>US Citizenship is required for this role due to program requirements and system access.<br><br>#EBDT</div><h3>Basic Qualifications</h3><div>• Proven full-stack software development experience with advanced Python (proficient enough to mentor others and review code), proficiency in at least two other programming languages (e.g., Java, C++, Go), and modern JavaScript frameworks (React.js, Angular).<br>• Ability to design and validate knowledge graphs based on ontologies and integrate graph data into applications, with experience handling the entire lifecycle of an AI-powered application.<br>• Experience with LLMs/Generative AI and Cloud Infrastructure with GitOps.<br>• Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema), including building and managing APIs and back-end systems.<br>• US Citizenship is required due to program requirements and system access, plus a Bachelor's degree in Computer Science, Information Technology, Engineering, AI/ML, or a related field (or equivalent education/experience).</div><h3>Desired skills</h3><div>• Practical experience with production level LLM Tool Calling workflows<br>• Design and delivery experience in API Development & Integration (REST, GraphQL, etc) <br>• Expertise and strategic use of GenAI Coding Assistants<br>• Expereince with agent development using various agentic tools and standard agentic frameworks (CrewAI, Google ADK, LangChain, LangGraph, Pydantic AI, AWS Strands.<br>• Expereince with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle<br>• Hands-on experience with AWS services, Amazon RDS PostgreSQL, Amazon Bedrock, EC2 instances, and S3 storage, for building, deploying and scaling applications)<br>• Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or Kubernetes/OpenShift pipelines) with background deploying/using Terraform/Ansible<br>• Data engineering experience<br>• Production level Information retrieval and semantic data discovery development expereince ( e.g. Experience with Vector Databases, k-NN, and Semantic Search)<br>• Front-end and back-end development experience in at least two other programing languages (e.g., Java, C++, Go, etc) and modern JavaScript frameworks (React.js, Angular.<br>• Experienced in designing and validating knowledge graphs (KG) based on ontologies and the integration of graph data into applications. Expereince with KG adjacent tools and technologies (e.g. RDF, OWL, SPAQL, and Ontop).<br>• Excellent communication, collaboration, and cross‑functional stakeholder expereince<br>• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Colorado, Florida, Maryland, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Cherry Hill, Grand Prairie, King of Prussia, Littleton, Orlando</div><h3>Zip</h3><div>08002, 19406, 20817, 32825, 75051, 80127</div><h3>EEO</h3><div><strong>Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.</strong><br><strong>The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.</strong></div><h3>*</h3><div>At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. <br> <br>With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.<br><br>If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on <a href="https://www.lockheedmartinjobs.com/">Lockheed Martin Jobs</a>, and apply for roles that align with your qualifications.</div><h3>City, State</h3><div>Bethesda-MD, Cherry Hill-NJ, Grand Prairie-TX, King of Prussia-PA, Littleton-CO, Orlando-FL</div><h3>Ability to Telecommute</h3><div>Full time telecommuter</div><h3>Other Important Information</h3><div>By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.  Should this match be identified you may be contacted for this and future openings.</div><h3>Ability to work remotely</h3><div>Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.</div><h3>Work Schedule Information</h3><div>Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees.  Schedules range from standard 40 hours over a five day work week while others may be condensed.  These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.</div><h3>Work Schedule</h3><div>4x10 hour day, 3 days off per week </div><h3>Select the Telework classification for this position</h3><div>Employee that will telework full-time </div><h3>National Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $108,800  - $191,820. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. <br>(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.<br>This position is incentive plan eligible.</div><h3>Premium Pay Statement</h3><div><strong>Pay Rate:</strong> The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $125,100  - $216,890. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.<br><strong>Benefits offered:</strong> Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.<br>This position is incentive plan eligible.</div></div>

Full-stack software development with Python, JavaScript, APIs, knowledge graphs, and AI/ML; cloud and on-prem infrastructure; US citizenship; degree in CS/IT/Engineering/AI or related field.

<p style="text-align:left"><b>Work Location:</b></p>Mount Laurel, New Jersey, United States of America<p style="text-align:inherit"></p><p style="text-align:left"><b>Hours:</b></p>40<p style="text-align:inherit"></p><p style="text-align:left"><b>Pay Details:</b></p>$79,160 - $127,670 USD<p style="text-align:inherit"></p><p style="text-align:left">TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate&#39;s skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. </p><p style="text-align:inherit"></p><p style="text-align:left">As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.</p><p style="text-align:inherit"></p><p style="text-align:left"><b>Line of Business:</b></p>Technology Solutions<p style="text-align:left"><b>Job Description:</b></p><p>The Python Developer/ Engineer develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.</p><p></p><p><b>Depth &amp; Scope:</b></p><ul><li>Advanced knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues</li><li>Advanced knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards</li><li>Advanced experience, knowledge and skills in own discipline</li><li>Works independently with minimal guidance</li><li>Acts as a SME resource for colleagues with less experience</li><li><span>Solves complex problems; Takes a new perspective on existing solutions</span></li></ul><p></p><p><b>Education &amp; Experience:</b></p><ul><li>Bachelor&#39;s or Graduate degree</li><li>Strong academic background (e.g., computer science, engineering)</li><li><span>5-7 years relevant experience</span></li></ul><p></p><p><b>Preferred Qualifications:</b></p><p>5&#43; years of experience with the following skills:</p><ul><li>Python, Node.js, Express.js, React.js and modern JavaScript (ES6&#43;)</li><li>SQL/No SQL database technologies (MongoDB, PostgreSQL, MySQL, etc.)</li><li>RESTful API design and integration</li><li>Testing frameworks (Jest, Mocha, etc.)</li><li>Version control systems (Git)</li></ul><p></p><p><b>Physical Requirements:</b></p><p>Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%</p><ul><li>Domestic Travel – Occasional</li><li>International Travel – Never</li><li>Performing sedentary work – Continuous</li><li>Performing multiple tasks – Continuous</li><li>Operating standard office equipment - Continuous</li><li>Responding quickly to sounds – Occasional</li><li>Sitting – Continuous</li><li>Standing – Occasional</li><li>Walking – Occasional</li><li>Moving safely in confined spaces – Occasional</li><li>Lifting/Carrying (under 25 lbs.) – Never</li><li>Lifting/Carrying (over 25 lbs.) – Never</li><li>Squatting – Never</li><li>Bending – Never</li><li>Kneeling – Never</li><li>Crawling – Never</li><li>Climbing – Never</li><li>Reaching overhead – Never</li><li>Reaching forward – Never</li><li>Pushing – Never</li><li>Pulling – Never</li><li>Twisting – Never</li><li>Concentrating for long periods of time – Continuous</li><li>Applying common sense to deal with problems involving standardized situations – Continuous</li><li>Reading, writing and comprehending instructions – Continuous</li><li>Adding, subtracting, multiplying and dividing – Continuous</li></ul><p></p><p>The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities &amp; duties are considered essential functions for ADA purposes.</p><p></p><p><b>Who We Are:</b></p><p>TD is one of the world&#39;s leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.</p><p style="text-align:inherit"></p><p style="text-align:left"><b>Our Total Rewards Package</b></p><p style="text-align:left"><br />Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable <span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span><span class="WPN0">compensation/incentive</span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span></span> awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. <a href="http://hrportal.ehr.com/tdtotalrewards" target="_blank">Learn more</a></p><p></p><p><b><span>Additional Information:</span></b><br /><span>We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.<br /><br /><b>Colleague Development </b></span></p><p><span>If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.</span></p><p><span> </span></p><p><span>If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.  </span></p><p></p><p><span>We&#39;re committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.</span></p><p></p><p><span><b>Training &amp; Onboarding</b><br />We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.<br /><br /><b>Interview Process </b><br />We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.</span></p><p style="text-align:inherit"></p><p style="text-align:left"><b>Accommodation</b></p><p style="text-align:left">TD Bank is an equal opportunity employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.</p><p style="text-align:inherit"></p><p style="text-align:left">If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at <a href="mailto:USWAPTDO&#64;td.com" target="_blank">USWAPTDO&#64;td.com</a>.  Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.</p>

Python Developer / Engineer (US)

Python Developer / Engineer

5-7 years of relevant experience; strong Python/JavaScript stack; REST APIs; SQL/NoSQL databases; testing; Git.

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