Adelphi AI

Adelphi AI

Machine Learning Engineer

Washington D.C

Sponsorship not specifiedDetected 12 days ago
Full-Stack DevelopmentAWSDockerKubernetesLinuxDevOpsMachine LearningLLMsRAGAgentic AILLMOpsLangGraphAI OrchestrationLeadership

About the role

  • 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.
  • You will contribute to end-to-end delivery of agentic, full-stack systems built on top of frontier models, from first prototype to stable production, embedded alongside our defense and intelligence customers.

Responsibilities

  • Adelphi builds AI/ML-enabled secure data access and sharing technology for the U.S. intelligence and defense communities, using its Connector software product to enable federated data discovery that cuts intelligence-sharing time from months to minutes.
  • Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into production environments, including classified and air-gapped ones.

Requirements

  • 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.
  • Experience in the defense or intelligence fields is required.
  • You know when to trust AI-generated output and when to verify.

Nice to have

  • Familiarity with infrastructure management (Docker, Kubernetes, AWS).
  • 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.
  • 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.

Skills

  • Exposure to encryption, authentication, Linux systems administration, DevOps, or SRE.

Compensation

  • Competitive salary and equity compensation.

Benefits

  • Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.
  • Competitive salary and equity compensation.
  • Opportunity to work on impactful projects in the national security sector.

Company info

  • We are an AI-native engineering team.
  • Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production, embedded alongside defense and intelligence customers.
  • The company's mission is to eliminate data silos, build trust in automation without compromising security, and improve information flow across mission-critical environments.
  • Adelphi closed a $7M Seed round in August 2025 and has Customers across the Intelligence Community and the Department of War.
  • We expect every engineer to leverage LLMs and AI tooling as a core part of how they design, build, ship, and operate agentic systems that turn frontier-model capability into mission outcomes.
  • Work directly with customers to understand problems, support delivery sequencing, and ship AI applications under real-world constraints.
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This listing is sourced directly from Adelphi AI's careers page and normalized into a canonical job model.