Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native generative AI solutions and intelligent data pipelines on AWS, spanning intelligent document processing, computer vision, and related AI / ML domains.
The ideal candidate is energized and motivated with an extreme commitment to delivery and transformational change through the use of AI. They will think about generative AI in two dimensions: as a tool that makes them and their team dramatically faster, and as a core component of the intelligent systems they build. They understand that deploying an LLM inside a production workflow is a fundamentally different engineering challenge than using one to write a function, and they have done both. They take initiative without being asked and want ownership of the firm's trajectory, not just their deliverables.
Our client is a Benefit corporation - legally committed to creating measurable social value alongside business performance. They offer mission-driven, technically challenging work on complex federal initiatives, paired with direct client access, real ownership of your work product, and a culture that rewards initiative.
Responsibilities
Client Delivery:
Design and deploy production-grade Agentic AI systems where LLMs serve as operational components to reason, explain, and make decisions within live workflows
Architect intelligent pipelines combining classical tools (OCR, fuzzy matching, structured query) with LLM-based validation, confidence scoring, fallback logic, and automated logging for auditability and continuous improvement
Translate ambiguous mission requirements into well-scoped AI system designs; apply prompt and context engineering, RAG, semantic search, and fine-tuning as appropriate; leverage AWS services including Bedrock, Textract, Lambda, and Step Functions
Use generative AI tooling to accelerate the full development lifecycle: requirements analysis, code generation, test coverage, documentation, and deployment scaffolding
Document and quality-assure all project work prior to client delivery; attend meetings with agency staff, vendors, and external stakeholders as needed
Firm Development:
Lead or contribute to business development, internal tool-building, mentorship, or publication to strengthen the firm's AI capabilities and market position