Explore 5 full stack java react js developer jobs from 3 hiring companies in Manahawkin, NJ, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Full Stack Java React Js Developer

Ocean Acres

Beach Haven West

Bayville

Toms River

Holiday City-Berkeley

Mystic Island

Atlantic City

Pleasantville

Lakewood

Barnegat

Point Pleasant

Jackson

Vincentown

Forked River

Mount Laurel

Crestwood Village

Sicklerville

Smithville

Tuckerton

Full Stack Java React Js Developer Jobs

Lockheed Martin

Cognizant

Incedo

Remote

Hybrid

Onsite

<p><span><strong>Lead Java Full Stack Engineer with React and Angular  (Hybrid)</strong></span></p><p><br><span>We are seeking an experienced Senior Java Full Stack Lead (12+ years) with deep expertise across backend and frontend development. The ideal candidate must be strong in Java, modern UI frameworks (React or Angular with Redux), messaging systems such as Kafka/MQ, and DevOps tools like GitHub, Nexus, or Bitbucket. This is a hands-on leadership role involving architecture decisions, team management, code quality oversight, and end-to-end solution delivery.</span></p><p> </p><p><span><strong>Important Disclaimers:</strong></span></p><p><span><i><strong>**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**</strong></i></span></p><p><span><i><strong>**Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future (GC Holder, US citizen, H4 AED, L2, Etc.)**</strong></i></span></p><p> </p><p><br><span><strong>In this role, you will:</strong></span></p><ul><li><span>Lead and mentor a team of full-stack developers, ensuring high-quality delivery and adherence to best engineering practices. </span></li><li><span>Architect, design, and build scalable backend services using Java, microservices, and REST APIs. </span></li><li><span>Develop high-performance, responsive UI components using HTML5, CSS3, JavaScript, and React or Angular with Redux. Integrate front-end applications with REST APIs and ensure seamless data flow. </span></li><li><span>Implement and support asynchronous messaging solutions using Kafka or MQ.</span></li><li><span>Define technical standards, review code, and guide the team in solving complex technical challenges. </span></li><li><span>Collaborate with architects, product managers, and cross-functional stakeholders to shape technical solutions.</span></li><li><span>Oversee integration pipelines and code repositories using GitHub / Bitbucket, dependency management via Nexus, and modern CI/CD practices.</span></li><li><span>Drive Agile ceremonies, sprint planning, estimations, and technical planning sessions.</span></li><li><span>Troubleshoot production issues and ensure application reliability, security, and scalability. </span></li><li><span>Contribute to architectural improvements, performance tuning, and optimization efforts.</span></li></ul><p> </p><p><br><span><strong>Work model</strong></span><span>: Hybrid</span><br><span><strong>Location</strong></span><span>: Mount Laurel - NJ</span></p><p><span>We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client office in<i> Mount Laurel - NJ</i>. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.</span></p><p> </p><p><span><strong>What you need to have to be considered:</strong></span></p><ul><li><span>12+ years of experience in software development with strong backend + frontend exposure.</span></li><li><span>Expert-level proficiency in <strong>Java, object-oriented design, multithreading, collections, Spring / Spring Boot</strong> (if applicable).</span></li><li><span>Deep experience with<strong> HTML5, CSS3, JavaScript ES6+</strong>.</span></li><li><span>Hands-on experience with <strong>React or Angular, including Redux </strong>or similar state management libraries.</span></li><li><span>Strong knowledge of event-driven architectures using <strong>Kafka </strong>or enterprise MQ systems.</span></li><li><span>Experience with <strong>GitHub, Bitbucket</strong>, and artifact repositories like Nexus.</span></li><li><span>Strong understanding of microservices, <strong>REST API</strong>s, integration patterns, and distributed systems.</span></li><li><span>Proven leadership experience managing technical teams and delivering complex projects.</span></li><li><span>Excellent communication, architectural reasoning, and stakeholder management skills.</span></li></ul><p><br><span>-- We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.</span></p><p><br><span><strong>Salary and Other Compensation:</strong></span></p><p><span>Applications will be accepted until <strong>4/15/2026.</strong></span></p><p><span>The annual salary for this position is between <i><strong>$68K – $140K depending on experience and other qualifications of the successful candidate.</strong></i></span></p><p><span>This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.</span></p><p><br><span><strong>Benefits</strong></span><span>: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:</span></p><p><span>-  Medical/Dental/Vision/Life Insurance</span></p><p><span>-  Paid holidays plus Paid Time Off</span></p><p><span>-  401(k) plan and contributions</span></p><p><span>-  Long-term/Short-term Disability</span></p><p><span>-  Paid Parental Leave</span></p><p><span>-  Employee Stock Purchase Plan</span></p><p> </p><p><span><strong>Disclaimer</strong></span><span>: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.</span><br> </p>

Lead Java Full Stack Engineer with React and Angular  (Hybrid)

Lead Java Full Stack Engineer

Senior Java Full Stack lead (12+ years) with Java, React/Angular, Kafka, Redux, GitHub/Bitbucket, Nexus, and CI/CD; hands-on leadership in architecture, delivery, and team management.

Java Full Stack Developer (48853)

Java Full Stack Developer

8-10 years experience; B.Tech/B.E/M.Tech or MCA; strong Java, Python, or JavaScript; full-stack skills; leadership potential.

<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.</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, Grand Prairie, King of Prussia, Littleton, Moorestown, Orlando</div><h3>Zip</h3><div>08057, 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, Grand Prairie-TX, King of Prussia-PA, Littleton-CO, Moorestown-NJ, 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>

AI Full Stack Engineer – Agentic Systems &amp; Ontology

AI Full Stack Engineer

Full-stack development with Python and JS frameworks; knowledge graphs and ontologies; LLM/GenAI experience; cloud and on-prem; US citizenship; degree in CS/IT/Engineering/AI/ML or related.

<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, New Jersey, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Grand Prairie, Highlands Ranch, King of Prussia, Moorestown, Orlando</div><h3>Zip</h3><div>08057, 19406, 32825, 75051, 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>Grand Prairie-TX, Highlands Ranch-CO, King of Prussia-PA, Moorestown-NJ, 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>

Full stack engineer with Python, JS frameworks, knowledge graphs, AI/ML, cloud, APIs; US citizenship; bachelor’s/master’s in CS/IT/engineering/AI/ML; multiple tools.

<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>

Proven full-stack software development with Python and JavaScript, knowledge graphs, LLMs, cloud infra, API design; US citizenship; Bachelor's in CS/IT/Engineering or related field; experience with GitHub/GitLab.

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