Forward-Deployed ML Engineer for National Security

Adelphi Data; Washington (District of Columbia); Ibrido; USD 150.000 - 220.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health coverage

401K match

Equity grant

Mental health stipend

Flexible PTO

Descrizione del lavoro

Adelphi is hiring a Machine Forward Deployed Learning Engineer in the DC/Metro area with a hybrid schedule. The role focuses on building full-stack, agent-based AI systems for national security, requiring experience in defense/intelligence contexts and an active U.S. Government clearance.

You will work closely with customers to deploy production-grade ML services and advance frontier-model capabilities. The position emphasizes hands-on development across the stack, from OS and networking to

Competenze

• Experience with end-to-end ML/AI systems in a security-focused environment.
• Proficient with LLM orchestration, embeddings, RAG and agent ecosystems.
• Ability to operate in classified or air-gapped environments and collaborate with customers.

Mansioni

• Contribute to end-to-end delivery of agentic, full-stack systems from prototype to production.
• Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration in production environments.
• Collaborate with customers to understand problems and support delivery sequencing.
• Codify repeatable patterns into reusable tools and building blocks.

Conoscenze

LLM tooling

LLM workflows

Agent frameworks

OpenAI Agents SDK

MCP framework

Linux basics

Strumenti

Docker

Kubernetes

AWS

Descrizione del lavoro

Adelphi is hiring a Machine Forward Deployed Learning Engineer in the DC/Metro area with a hybrid schedule. The role focuses on building full-stack, agent-based AI systems for national security, requiring experience in defense/intelligence contexts and an active U.S. Government clearance.

You will work closely with customers to deploy production-grade ML services and advance frontier-model capabilities. The position emphasizes hands-on development across the stack, from OS and networking to