Machine Learning Engineer

Summary

Adelphi is an AI deployment company focused on national security and solving challenges across warfighting, intelligence, and enterprise environments. The Machine Learning Engineer will develop and deploy agentic, full-stack AI systems using LLMs, embeddings, retrieval-augmented generation, and agent orchestration, while working directly with defense and intelligence customers in production and classified environments.

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
• The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role
• This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer
• This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected
• 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

Qualifications

Must Haves

• 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
• The Machine Forward Deployed Learning Engineer position requires a mix of software development, LLM Ops, and SecDevOps practices, resulting in an exciting, fast-paced engineering role
• This role requires the ability to contribute to solutions across the full LLM stack, from the OS, storage, and network up to the API and transport layer
• This role is based in the DC/Metro area; remote candidates will be considered with 25% travel expected

Nice to Haves

• 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.
• Equity in a seed-stage business.
• $500 monthly Physical and Mental Health reimbursement program.
• Flexible PTO 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.