Note: The job is a remote job and is open to candidates in USA. Adelphi Data builds AI/ML-enabled secure data access and sharing technology for the U.S. intelligence and defense communities. The Machine Learning Engineer role involves contributing to the delivery of full-stack systems and deploying ML services while collaborating with customers in the defense sector.
Responsibilities
- Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers
- Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones
- Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints
- Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster
Skills
- Experience in the defense or intelligence fields is required
- You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively
- You leverage LLMs across the development lifecycle, and stay current with emerging models and tooling
- You have working knowledge of modern agent frameworks and SDKs (LangGraph, OpenAI Agents SDK, Claude Agent SDK, AutoGen, or similar)
- Familiarity with MCP or similar LLM integration frameworks
- You have a clear-eyed view of AI limitations. You know when to trust AI-generated output and when to verify
- Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers
- Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones
- Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints
- Help codify repeatable patterns into reusable tools and building blocks that help the team ship faster
- An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates
- Familiarity with infrastructure management (Docker, Kubernetes, AWS)
- Exposure to encryption, authentication, Linux systems administration, DevOps, or SRE
- Any production experience with agentic services or forward-deployed AI applications
- Experience in a customer-facing or embedded delivery role
- Exposure to federated or privacy-preserving data architectures
Benefits
- Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.
- 401K with 2% company match.
- $500 monthly Physical and Mental Health reimbursement program.
- Unlimited time-off policy.
- Competitive salary and equity compensation.
- Opportunity to work on impactful projects in the national security sector.
- Career growth and leadership opportunities in a dynamic, innovative environment.
Company Overview