AI Engineer - SME- CLEARANCE and POLYGRAPH REQUIRED

Job description

solutions involving LLMs, agentic workflows, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. **Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.** ### Required: - Must be a US Citizen - Must have TS/SCI clearance w/ active polygraph - Requires current CI poly within last seven (07) years. - Eighteen (18) years of experience with a Bachelors Degree; experiencing providing technical advisory support for the design, evaluation, and advancement of applications, tools, and workflows. - Degree in Systems Engineering, Computer Science, Engineering, Data Science, Mathematics, or related field. - Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools. - Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows. - Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems. - Experience with software development fundamentals, APIs, data handling, and system integration. - Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders. - Strong written and verbal communication skills. ### These Qualifications Would be Nice to Have: - Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development. - Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses. - Exposure to model hosting, inference pipelines, or cloud-based AI development environments. - Understanding of secure AI development practices, data protection, and operational constraints in government settings. - Experience supporting defense, cyber, intelligence, or mission application development. - Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.