Senior Full Stack Developer focusing on agentic AI capabilities within secure cloud environments for Culmen. Involves building prototypes and system integrations for DoD-designated environments.
Responsibilities
Build agentic AI capabilities end-to-end: Implement agent logic with LangChain/LangGraph (tool use, function calling, state management, logical branching)
Develop robust system prompts, prompt libraries, and agent personas aligned to mission workflows
Integrate commercial model SDKs (Gemini Enterprise, Anthropic for Gov, Grok Enterprise) and cloud inference services (Vertex AI, Bedrock)
Build a metadata catalog/platform (MCP) that indexes sources, exposes search and serving APIs, and integrates with agent workflows
Implement data quality, profiling, lineage, and access controls; optimize for discovery and retrieval efficiency
Implement secure API access and data ingestion pipelines for structured and unstructured sources in IL5 cloud environments
Build live data connectors and operational pipelines exercised by agents during demos
Write high-quality, testable code (Python and TypeScript/JavaScript preferred), build services and microservices, and contribute to CI/CD pipelines
Implement automated tests, logging/observability, and security controls aligned to DoD SRG IL5, FedRAMP High, and RMF principle
Execute sprint plans, participate in agile ceremonies, and deliver incremental capabilities that meet acceptance criteria
Prepare demo artifacts and conduct live demonstrations for Government Product Owner and stakeholders
Contribute to technical documentation, code repositories, prompt libraries, and maintenance procedures for ATO-ready posture and follow-on production
Requirements
7+ years of software engineering experience with 3+ years building production-grade full stack AI systems
Hands-on experience developing agentic AI solutions using frameworks like LangChain/LangGraph, including advanced prompt engineering
Proficiency in Python and TypeScript/JavaScript; experience with REST/gRPC, OpenAPI, microservices, and event-driven patterns
Experience integrating cloud model services (Vertex AI, Bedrock) and enterprise AI SDKs (Gemini Enterprise, Anthropic for Gov)
Strong cloud experience (Azure or Google Cloud); familiarity with containers/Kubernetes, identity and access control, secrets management
Data engineering experience: secure API integrations, ETL/ELT pipelines, working with both structured and unstructured data
Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen, and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners)
401k – Vested immediately and 4% match
Life insurance and disability paid by the company
Supplemental Insurance Available
Opportunities for Training and Continuing Education
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