ME00702-Software Engineer / AI/ML Developer

Job Summary: Seeking an experienced Software Engineer (Level 3 or Level 4) to support the development, integration, and deployment of AI-enabled capabilities within secure Intelligence Community (IC) mission environments The ideal candidate will have a strong background in software engineering, Python development, AI/ML technologies, and cloud-based solutions This position focuses on integrating large language models (LLMs), retrieval-augmented generation (RAG), and emerging AI technologies into operational systems to improve cyber data analysis, automate workflows, and enhance mission effectiveness We are looking for a technically strong, hands‑on engineer who can evaluate emerging AI platforms, develop innovative solutions, and collaborate with multidisciplinary teams to implement secure, scalable applications

Primary Responsibilities: Design, develop, maintain, and enhance enterprise software applications and services that leverage AI/ML technologies, LLMs, RAG, vector search, and agentic workflows Develop and integrate AI‑enabled capabilities into existing mission systems and analyst workflows to support cyber data triage, vulnerability analysis, and decision‑making Design, develop, and deploy AI/ML models and tools supporting data mining, predictive analytics, knowledge discovery, and process automation Develop Python‑based applications, backend services, RESTful APIs, and automated data processing solutions Integrate AI/ML applications into secure cloud‑based architectures, ensuring interoperability with existing enterprise systems Evaluate AI model performance, accuracy, reliability, and effectiveness through testing, experimentation, and quantitative metrics Support model optimization, prompt engineering, fine‑tuning, and continuous improvement based on operational requirements and user feedback Collaborate with cyber analysts, data engineers, software developers, and systems engineers to define requirements, troubleshoot issues, and deliver mission‑focused solutions Conduct analyses of alternatives (AoAs) to evaluate commercial, open‑source, and internally developed AI technologies Support cloud infrastructure, containerized applications, databases, configuration management, and automated deployment processes Develop and execute software test procedures, troubleshoot application issues, and ensure solutions meet functional and performance requirements Maintain technical documentation, development standards, implementation procedures, and knowledge‑transfer materials Ensure solutions comply with applicable DoD/IC cybersecurity, data protection, access control, and secure development requirements

Required Qualifications: Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, Information Systems, or a related technical discipline Level 3:10+ years of relevant software engineering experience Level 4:15+ years of relevant software engineering experience Strong proficiency in Python programming, software development, scripting, and automation Experience developing RESTful APIs, backend services, and enterprise software applications Understanding of AI/ML concepts, including model training, evaluation, performance measurement, and optimization Knowledge of modern AI technologies, including LLMs, prompt engineering, embeddings, RAG, vector databases, and agentic workflows Experience supporting AI/ML, software development, data engineering, or cloud‑based solutions in government, defense, or enterprise environments Familiarity with Microsoft Azure and/or AWS cloud platforms and supporting services Working knowledge of cloud architecture, containerization, databases, APIs, identity and access management, and secure system integration Experience with relational databases, SQL development, query optimization, and database management Experience with configuration management and infrastructure automation tools such as Ansible, Puppet, Chef, or Terraform Proficiency using command‑line tools, scripting utilities, and development environments for troubleshooting and automation Ability to evaluate technical alternatives, troubleshoot complex systems, and rapidly develop and refine solutions Strong analytical, communication, documentation, and collaboration skills

Desired Qualifications: Familiarity with Kubernetes and container orchestration Experience designing and implementing full‑stack applications and AI‑enabled services Experience integrating LLMs into enterprise applications and operational workflows Knowledge of MLOps, model hosting, data pipelines, orchestration, monitoring, and model lifecycle management Experience with secure cloud environments, isolated networks, and government cybersecurity requirements Familiarity with cyber threat analysis, vulnerability assessment, network configurations, and security‑focused data analytics Experience supporting Intelligence Community or Department of Defense mission systems Experience implementing automated testing, software deployment pipelines, and modern software development practices Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate’s experience and qualifications.