Explore 3 full stack python developer jobs from 3 hiring companies in Stone Ridge, NY, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Full Stack Python Developer

Marbletown

Kingston

Poughkeepsie

Wawarsing

New Paltz

Newburgh

Beacon

Fallsburg

Hurley

Middletown

Kiryas Joel

Highland

Peekskill

Fairview

Cortlandt Manor

Danbury

Port Ewen

Jefferson Valley-Yorktown

New Windsor

Full Stack Python Developer Jobs

Boehringer Ingelheim

Google

Lockheed Martin

Onsite

Remote

<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 Only</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.</div><h3>Basic Qualifications</h3><div>•Proven full-stack software development experience. Advanced/senior coding/development experience with Python (advanced proficiency, can mentor others)<br>•Demonstrated experience with architecting and maintaining Information Retrieval and Sematic discovery systems<br>•Proven Experience with cloud platforms (e.g. AWS) deploying applications on cloud-based platforms and containerization (e.g., Docker, Kubernetes)<br>•Experience handling the entire life cycle of an AI-powered application.  Experience managing cloud deployments and MLOps to keep systems running. Experience with LLMs and/or Generative AI. Demonstrated experience with API design and specifications (REST/OpenAPI, JSON/JSON-Schema). You’ve built and managed APIs and back-end systems<br>•Demonstrated experience maintaining/managing github/gitlab projects with multiple developers on it<br>•Demonstrated strategic use of GenAI Coding Assistants<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<br><br>#EBDT</div><h3>Desired skills</h3><div>• Practical experience with production level LLM Tool Calling workflows<br>• Proven design and delivery experience in API Development & Integration<br>• Proven Experience setting up and maintaining CI/CD pipelines (GitLab CI, Jenkins, or OpenShift pipelines)<br>• Data engineering experience including designing/deploying/maintaining ETLs, and creating/managing RDS<br>• Production level Information retrieval and semantic data discovery development experience (e.g. Experience with Vector Databases, k-NN, and Semantic Search)<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>• Expertise and strategic use of GenAI Coding Assistants<br>• Experience with agent development using various agentic tools and frameworks. Experience with autonomous workflows, Agentic devOps, and the Agentic development Lifecycle<br>• Excellent communication and liaison experience with external technical partners, customers, and cross‑functional stakeholders.<br>• Experienced in agile development methodologies and version control systems (e.g., Git)<br>• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, AI/ML or related field</div><h3>State</h3><div>Connecticut, Florida, Maryland, New Jersey, New York, Pennsylvania, Texas</div><h3>Virtual</h3><div>yes</div><h3>City</h3><div>Bethesda, Grand Prairie, King of Prussia, Moorestown, Orlando, POUGHKEEPSIE, Stamford</div><h3>Zip</h3><div>06903, 08057, 12602, 19406, 20817, 32825, 75051</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, Moorestown-NJ, Orlando-FL, POUGHKEEPSIE-NY, Stamford-CT</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 (Info Retrieval)

AI Full Stack Engineer

Full-stack software engineer with AI/ML, information retrieval, cloud, and API experience; US citizenship required.

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Description</H2></div><div><p>In this role you will partner with product and engineering teams at Boehringer Ingelheim, in our BI X  business to design, build, and integrate AI-powered solutions into applications that drive meaningful impact in healthcare. You will work across the full AI development lifecycle from rapidly prototyping LLM-based workflows to delivering reliable, well evaluated solutions that teams can build on. If you enjoy experimenting with emerging AI tools, working across disciplines, and turning ideas into working software, you will feel at home at BI X.</p>
<p> </p>
<p>Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Compensation Data</H2></div><div><p>This position offers a base salary typically between $75,000 and 181,000.  This position may be eligible for a role specific variable or performance based bonus and or other compensation elements.  For an overview of our benefits please <a href="https://www.boehringer-ingelheim.com/us/careers/benefits-rewards">click here.</a> ​</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Duties &amp; Responsibilities</H2></div><div><ul>
<li>AI Integration &amp; Development: Design and implement LLM-based features and pipelines using frameworks such as LangChain and LangGraph. Build and maintain Retrieval-Augmented<br>Generation (RAG) systems, including vector store management, chunking strategies, embedding pipelines, and retrieval optimization.</li>
<li>Prototyping &amp; Experimentation: Rapidly explore and evaluate new AI capabilities, tools, and approaches. Translate ambiguous problem statements into working prototypes that demonstrate value and inform product direction.</li>
<li>Collaboration &amp; Requirements Gathering: Meet regularly with IT colleagues, product owners, and stakeholders to understand business needs and translate them into well-scoped AI engineering solutions. Communicate tradeoffs clearly across technical and non-technical audiences.</li>
<li>Application Support: Maintain and improve existing AI-integrated systems, troubleshoot pipeline failures, and take corrective action on issues related to retrieval quality, prompt behavior, or<br>model outputs.</li>
<li>Project Participation: Contribute to project teams by delivering on assigned tasks and action items, participating in agile ceremonies, and supporting delivery against team goals.</li>
<li>Technical Awareness: Stay current with the rapidly evolving AI/ML landscape, including emerging LLM capabilities, new tooling, and best practices for responsible AI development.</li>
<li>Documentation: Produce clear documentation for AI workflows, integration patterns, prompt templates, and system architecture in support of both operational and project activities</li>
</ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Requirements</H2></div><div><p>Core Competencies</p>
<ul>
<li>Proficiency in Python for AI/ML development and backend service integration.</li>
<li>Hands-on experience with LangChain and/or LangGraph for building agentic and multi-step LLM workflows.</li>
<li>Strong understanding of RAG pipelines end-to-end: document ingestion, chunking, embedding, vector storage, and query-time retrieval.</li>
<li>Familiarity with leading LLM providers and APIs (e.g., OpenAI, Anthropic, Azure OpenAI, AWS Bedrock).</li>
<li>Experience with evaluation and testing of AI systems, including retrieval quality metrics, LLM output assessment, and regression testing for prompt changes.<br>Understanding of AI observability and experimentation tooling (e.g., LangSmith, Weights &amp; Biases, or equivalent).</li>
<li>Working knowledge of vector databases and semantic search principles.</li>
<li>Solid foundation in software engineering practices: version control (Git), CI/CD, and containerization (Docker).</li>
<li>Effective communication skills with the ability to explain AI system behavior and limitations to non-technical stakeholders.</li>
</ul>
<p>Senior Software Engineer:</p>
<ul>
<li>Associate degree in Computer Science or MIS with a minimum of 4 years experience; or Bachelor degree in Computer Science, or MIS, or related field with a minimum of 2 years of experience; or a Master degree in Computer Science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.</li>
<li>Hands-on experience building and shipping software in Python, with working knowledge of REST API development and integration patterns.</li>
<li>Demonstrated experience integrating LLMs into applications using frameworks such as LangChain, LangGraph, or equivalent.</li>
<li>Practical understanding of RAG architectures, including embedding models, vector databases (e.g., FAISS, Chroma, Pinecone, Weaviate), and retrieval strategies.</li>
<li>Familiarity with prompt engineering techniques, including few-shot prompting, chain-of-thought, and system prompt design.</li>
<li>Knowledge of software development lifecycle and experience working on agile project teams.</li>
</ul>
<p>Principal Software Engineer</p>
<ul>
<li>Associate degree in Computer Science, MIS or a related field with a minimum of 7 years experience; or Bachelor degree in Computer Science, or MIS, with a minimum of 5 years of experience; or a Master degree in Computer Science, MIS, with a minimum 3 years of experience; or relevant Business or IT experience of minimum of 7 years. Minimum of 4 years of programming preferred.</li>
<li>Above noted requirements plus demonstrated ability to lead technical design decisions on AI systems,mentor junior engineers, and drive adoption of best practices across teams.</li>
</ul>
<p> </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">Desired Skills, Experience and Abilities</H2></div><div><ul>
<li>Experience with agentic AI patterns including tool use, multi-agent orchestration, memory management, and reasoning loops using LangGraph or similar frameworks.</li>
<li>Exposure to healthcare data standards (e.g., FHIR/HL7) and regulated or privacy-sensitive environments.</li>
<li>Experience with structured output generation, function calling, and tool-augmented LLMs.</li>
<li>Comfort working with AI-assisted development environments (e.g., GitHub Copilot, Cursor) while maintaining code quality and security standards.</li>
<li>Comfort with lightweight discovery methods such as analytics, user interviews, and partnering with design and UX research to validate AI-driven solutions.</li>
<li>Interest in responsible AI practices, including bias evaluation, content moderation, and ethical deployment considerations.</li>
</ul></div></div></div>

Software Engineer - Full Stack AI (Ridgefield, CT, United States, Connecticut)

Software Engineer

Proficiency in Python, LangChain/LangGraph, LLM integration, REST APIs, CI/CD, Docker; experience with AI/ML, vector stores, and RAG pipelines; strong collaboration and communication.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Mountain View, CA, USA; Austin, TX, USA; Poughkeepsie, NY, USA; Portland, OR, USA</b>.<h3>Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.</li>
<li>4 years of experience with programming in C/C++ or Java, and scripting languages (e.g., Python).</li>
<li>Experience in one or more of the following three areas: linux kernel (e.g., processes, threads, scheduling, syscalls, interrupts and exceptions), toolchains (e.g., compilers, JIT compilation and symbolization) or, android system software stack.</li>
<li>Experience conducting full-stack performance analysis and optimization on software systems.</li>
</ul><br><h3>Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Electrical Engineering, Computer Engineering or Computer Science, with an emphasis on computer architecture.<br></li>
<li>Ability to diving into new technical territories.</li>
<li>Ability to be a fast and effective learner.</li>
<li>Ability to be comfortable and work on issues with ambiguity.</li>
</ul><div><h2>About the job</h2><p>Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.</p>
Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.<div><br></div><div>The US base salary range for this full-time position is $138,000-$198,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div><br></div><div>Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about <a href="https://careers.google.com/benefits/" target="_blank">benefits at Google</a>.</div></div><div><h2>Responsibilities</h2><ul>
<li>Perform in-depth search analysis on workloads and kernels to identify performance bottlenecks and others miss.</li>
<li>Plan and evaluate ARM architecture features, providing data-driven insights that shape future SoC designs.</li>
<li>Partner with Android workload owners, tool-chain experts, and device teams to implement full-system optimizations.</li>
<li>Design the benchmarks and modeling methodology that will define the next decade of hardware/software co-design.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also <a href="https://careers.google.com/eeo/">Google's EEO Policy</a> and <a href="/jobs/dist/legal/OFCCP_EEO_Post.pdf">EEO is the Law.</a> If you have a disability or special need that requires accommodation, please let us know by completing our <a href="https://goo.gl/forms/aBt6Pu71i1kzpLHe2">Accommodations for Applicants form</a>.

System Software and Performance Engineer, Silicon

System Software and Performance Engineer

Bachelor's degree in EE/CE/CS or equivalent; 4 years in C/C++ or Java with Python; experience in linux kernel, toolchains, or android system software; experience in full-stack performance analysis.

Full Stack Python Developer Jobs in Stone Ridge, NY, US | HiringCafe: every job on earth

Full Stack Python Developer Jobs in Stone Ridge, NY, US

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