> Markdown version of [/jobs/ext/2213118-ai-ml-programmer-analyst](https://www.wearedevelopers.com/jobs/ext/2213118-ai-ml-programmer-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Programmer/Analyst - **Company:** Connexion Systems & Engineering - **Location:** Lexington, MA, United States - **Experience:** Expert - **Salary:** $156,000.0 - $197,600.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, C++ (Programming Language), Cloud Computing, Software Documentation, Code Review, Continuous Integration, General-Purpose Computing on Graphics Processing Units, MATLAB, Machine Learning, SQL Databases, Google Cloud, Generative AI, Low Latency, Machine Learning Operations, Virtual Agents, Programming Languages - **Published:** August 24, 2026 - **Apply:** https://jobs.csetalent.com/index.smpl?arg=jb_apply&POST_ID=14226054 ## About the Role The role is highly hands-on and operates in a rapid research-to-prototype environment. The successful candidate will take emerging AI/ML concepts from research through experimental design, prototype development, quantitative evaluation, and iteration using realistic datasets and performance metrics. The position requires strong software development skills and the ability to translate cutting-edge research into practical, mission-focused solutions., * Bachelor's degree in a relevant technical field. * 10+ years of software design, development, and/or algorithm development experience. * Strong applied AI/ML background, with experience in areas such as deep learning, natural language processing (NLP), computer vision, graph analytics, cybersecurity, adversarial machine learning, or AI assurance. * 5+ years of experience applying AI/ML techniques. * Strong Python programming experience in Linux environments. * Experience developing clean, modular, testable software. * Experience with deep-learning frameworks such as PyTorch or TensorFlow and data-science libraries such as NumPy, pandas, and SciPy. * Experience developing or deploying generative AI and agentic AI solutions. * Experience with AI/ML infrastructure and GPU computing. * Experience with agentic frameworks or protocols such as Model Context Protocol (MCP). * Strong Git/GitHub experience, including branching, pull requests, and code reviews. * Experience with continuous integration, reproducible development environments, software documentation, and versioned releases. * Ability to take AI/ML research concepts through experimental design, prototype implementation, evaluation, and refinement. * Active U.S. security clearance required. Desired Skills: * Ability to read, evaluate, and implement techniques from current AI/ML research. * Experience working with benchmark or realistic datasets and evaluating performance using metrics such as accuracy, latency, and robustness. * Strong analytical and problem-solving skills with the ability to work through novel or loosely defined technical problems. * Ability to work independently and manage multiple priorities. * Strong written and verbal communication skills, including technical documentation, demonstrations, and presentations to technical and senior stakeholders. * Cloud experience with AWS, Azure, or Google Cloud. * Experience with C/C++, Java, Bash, SQL, MATLAB, or related programming languages and tools. Clearance: Active Secret or Top Secret clearance required. Candidates must be willing and able to obtain a TS/SCI clearance. Work Location: Hybrid, with approximately 2–3 days onsite per week. Candidates must be local by the start of the assignment. Final schedule and flexibility will be determined by the hiring manager. Interview Process: First-round interview via Zoom with the hiring manager. A second-round interview with additional team members is expected and is strongly preferred to be conducted onsite. ## Related Videos - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Old tools, new tricks](https://www.wearedevelopers.com/videos/1916-old-tools-new-tricks) - [Leveraging Large Language Models for Legacy Code Translation: Challenges and Solutions](https://www.wearedevelopers.com/videos/1157-leveraging-large-language-models-for-legacy-code-translation-challenges-and-solutions) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [MCP doesn’t suck — your agent does](https://www.wearedevelopers.com/videos/100202-mcp-doesn-t-suck-your-agent-does) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)