AI Engineer at Valsoft Corp. designing and deploying machine learning solutions for product enhancement. Collaborating with teams to implement scalable AI features and optimize performance.
About the role
- 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
- Practical DevSecOps: CI/CD, automated testing, observability, SBOM/signing, secure software supply chain
Benefits
- 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
- 12 Paid Holidays
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