Lead AI Engineer responsible for designing AI serving capabilities at Baker Hughes. Mentoring engineers and ensuring operational readiness while driving performance and cost optimization in AI services.
About the role
- Senior Full Stack Developer designing and delivering secure agentic AI capabilities within DoD cloud environments. Collaborating on AI/ML projects to enhance national security missions.
Responsibilities
- Work under the Senior Technical Lead to design, build, and demonstrate secure, production-ready agentic AI capabilities in DoD-designated cloud environments.
- Contribute across the stack, from robust system prompts and agent logic to secure API integrations and live data connectors delivering working prototypes that meet Gov milestone acceptance.
- Build agentic AI capabilities end-to-end, including implementing agent logic, developing system prompts, integrating commercial model SDKs, and building a metadata catalog/platform.
- Implement secure API access and data ingestion pipelines for structured and unstructured sources.
- Write high-quality, testable code, build services and microservices, and contribute to CI/CD pipelines.
- Execute sprint plans, participate in agile ceremonies, and prepare demo artifacts for stakeholders.
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
- Experience in IL5/IL6 or other regulated environments; familiarity with RMF/ATO processes
- Experience with RAG pipelines, embeddings, and vector databases (pgvector, Pinecone, Weaviate)
- Knowledge of metadata catalog systems (DataHub/OpenMetadata) or custom indexing/search services
- Prior work with DoD or IC stakeholders and mission-centric AI workflows
- Experience delivering outcome-based milestones in Agile programs.
Benefits
- Competitive and comprehensive benefits package. To explore the benefits we offer, please visit our website under the Careers section.
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