Forward-Deployed ML Engineer for National Security

Mixpeek; Washington (District of Columbia); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare coverage

401K with company match

Equity in seed-stage company

Flexible PTO

Job summary

Adelphi seeks an experienced Machine Forward Deployed Learning Engineer in the DC/Metro area, with remote options and ~25% travel. You will help design and deploy end-to-end, agentic, full-stack systems built on frontier models, alongside defense and intelligence customers.

The role demands proficiency with LLM stacks, security-aware development, and collaboration across OS, storage, and network layers to deliver production-ready solutions.

Qualifications

• Working knowledge of modern agent frameworks and SDKs.
• Familiarity with MCP or similar LLM integration frameworks.
• Ability to use AI coding tools daily and responsibly.

Responsibilities

• Contribute to end-to-end delivery of agentic, full-stack systems.
• Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration.
• Work directly with customers to understand problems and drive delivery.

Skills

AI tooling

LLM frameworks

Agent frameworks

AI safety & verification

Tools

LangGraph

OpenAI Agents SDK

Claude Agent SDK

AutoGen

Job description

Adelphi seeks an experienced Machine Forward Deployed Learning Engineer in the DC/Metro area, with remote options and ~25% travel. You will help design and deploy end-to-end, agentic, full-stack systems built on frontier models, alongside defense and intelligence customers.

The role demands proficiency with LLM stacks, security-aware development, and collaboration across OS, storage, and network layers to deliver production-ready solutions.