Explore 3 ai python software engineer jobs from 2 hiring companies in Nassau, DE, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Ai Python Software Engineer Jobs

Lockheed Martin

Eccalon

Remote

Onsite

<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

AI Full Stack Engineer

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.

<p style="margin-left:0in; margin-right:0in"><strong>Full Stack Developer </strong></p>

<p style="margin-left:0in; margin-right:0in"><strong>Location: Hanover, MD- On-site</strong></p>

<p style="margin-left:0in; margin-right:0in"><strong>Type: Full-time</strong></p>

<p style="margin-left:0in; margin-right:0in"><strong>Clearance: No Clearance Required</strong></p>

<p style="margin-left:0in; margin-right:0in"><strong>Job Description</strong></p>

<p style="margin-left:0in; margin-right:0in">Eccalon is seeking a Full Stack Developer to design, build, and ship production software across a portfolio of DoD, Intelligence, and enterprise programs. You will own features end-to-end&mdash;from React front-ends and Next.js applications through Node.js/Python APIs and AWS-hosted data stores&mdash;and actively leverage LLM and AI-assisted development techniques to accelerate delivery and enhance product capabilities. You will work closely with cross-functional teams including DevOps, UX/UI design, and program leadership in a security-conscious, compliance-driven environment.</p>

<p style="margin-left:0in; margin-right:0in"><strong>Responsibilities</strong></p>

<ul>
	<li>Design, develop, and maintain full-stack web applications from UI through API to data layer, with ownership of features across the entire delivery lifecycle.</li>
	<li>Build front-end architecture and UI components using React and Next.js; create reusable component libraries that support consistent UX across multiple products.</li>
	<li>Integrate LLM and AI capabilities into product features using the Anthropic API (Claude) and other model providers; apply prompt engineering, retrieval-augmented generation (RAG), and agentic workflow patterns to build intelligent, context-aware application experiences.</li>
	<li>Translate designs and wireframes into high-quality, accessible, responsive code; leverage AI-assisted development tools (e.g., Claude Code) to accelerate implementation without sacrificing quality or security.</li>
	<li>Develop and maintain back-end services and REST APIs using Node.js and Python; design for security, scalability, and compliance from the start.</li>
	<li>Integrate front-end applications with back-end APIs and AWS cloud services (Cognito, Lambda, API Gateway, DynamoDB, RDS/PostgreSQL); implement authentication flows including OAuth2/OIDC and JIT provisioning.</li>
	<li>Implement security and data protection measures aligned to NIST 800-171 and CMMC requirements; apply OWASP Top 10 mitigations and participate in code-level security reviews.</li>
	<li>Implement responsive, accessible UI designs (WCAG 2.1) that render consistently across devices and browsers.</li>
	<li>Write clean, well-tested, and well-documented code; contribute to and enforce engineering standards through trunk-based development and peer code review.</li>
	<li>Conduct thorough code reviews with a focus on security, maintainability, and AI-generated code validation; mentor junior engineers on best practices.</li>
	<li>Troubleshoot and debug complex issues across the full stack, including integration points with LLM APIs, cloud services, and third-party authentication providers.</li>
	<li>Design and manage relational and NoSQL data models across PostgreSQL, DynamoDB, and MongoDB; optimize queries and data access patterns for performance and cost.</li>
	<li>Apply structured prompt engineering techniques&mdash;chain-of-thought, few-shot examples, tool use, and system prompt design&mdash;to build reliable, production-ready LLM-powered features; evaluate and mitigate prompt injection, hallucination, and data leakage risks.</li>
	<li>Partner with UX/UI designers, product managers, and DevOps to deliver features end-to-end; translate program requirements into scalable technical solutions.</li>
	<li>Stay current on advancements in LLM/AI tooling, web frameworks, and cloud-native development; bring new techniques back to the team through demos, documentation, and knowledge sharing.</li>
</ul>

<p style="margin-left:0in; margin-right:0in"><strong>Required Qualifications</strong></p>

<p style="margin-left:0in; margin-right:0in">&nbsp;</p>

<ul>
	<li>Bachelor&rsquo;s degree in Computer Science, or a related field (or equivalent work experience).</li>
	<li>3+ years of experience as a Full Stack Developer shipping production web applications; experience in a DoD, federal contracting, or regulated environment a plus.</li>
	<li>Strong proficiency in HTML5, CSS3, JavaScript/TypeScript (ES6+), React, and Next.js; comfort building and documenting reusable component libraries.</li>
	<li>Proficiency in Node.js and Python for server-side development; experience with Express.js, Nest.js, and/or Next.js API routes.</li>
	<li>Hands-on experience integrating LLM APIs (Anthropic Claude, OpenAI, or similar) into production applications; demonstrated ability to write effective prompts, implement RAG pipelines, and build tool-use/agentic workflows.</li>
	<li>Experience with relational databases (PostgreSQL) and NoSQL databases (DynamoDB); comfort writing and optimizing queries and managing schema migrations.</li>
	<li>Solid understanding of RESTful API design, microservices architecture, and AWS services (API Gateway, Lambda, Cognito, S3, CloudFront).</li>
	<li>Proficiency with Git and trunk-based development workflows; experience with GitHub or GitLab for PR-based collaboration.</li>
	<li>Working knowledge of CI/CD pipelines (GitLab CI/CD) and cloud deployment practices on AWS; familiarity with security-focused DevSecOps gates.</li>
	<li>Strong analytical and problem-solving skills; ability to work independently across multiple concurrent projects and communicate technical decisions clearly to non-technical stakeholders.</li>
	<li>Comfort working in a regulated, compliance-aware environment; familiarity with NIST 800-171, CMMC, or FedRAMP requirements preferred.</li>
	<li>Strong interpersonal and communication skills; proven ability to collaborate effectively across engineering, design, DevOps, and program management teams.</li>
</ul>

<p style="margin-left:0in; margin-right:0in"><strong>Preferred Qualifications</strong></p>

<ul>
	<li>Experience building AI-powered features using RAG, vector databases (e.g., pgvector, Pinecone), or LLM orchestration frameworks (e.g., LangChain, LlamaIndex).</li>
	<li>Familiarity with model context protocol (MCP) patterns and structured tool-use design for LLM-integrated applications.</li>
	<li>Experience with Azure services (Azure AD, GCC High) or AWS GovCloud in a DoD or federal contracting environment.</li>
	<li>Familiarity with TypeScript across both front-end and back-end (Node.js/Next.js) codebases.</li>
	<li>Experience with Playwright or Cypress for end-to-end testing of web applications.</li>
	<li>Background in UX/UI collaboration with Figma or similar design tooling.</li>
</ul>

<p style="margin-left:0in; margin-right:0in"><strong>Equal Employment Opportunity (EEO) Policy</strong></p>

<p style="margin-left:0in; margin-right:0in">Eccalon provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</p>

<p style="margin-left:0in; margin-right:0in">&nbsp;</p>


Full Stack Developer   (MD, Hanover)

Full Stack Developer

3+ years as a full stack developer; React/Next.js; Node.js/Python; DoD/regulatory experience a plus; AI/LLM integration experience.

Ai Python Software Engineer Jobs in Nassau, DE, US | HiringCafe: every job on earth

Ai Python Software Engineer Jobs in Nassau, DE, US

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