Adelphi

Technology

SeniorMLEngineer

$165–235k ~AI est. Washington D.C., District of Columbia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior ML Engineer at Adelphi. Skills: ML Engineering, LLM Ops, SecDevOps. Provide solutions for full LLM stack. Own end-to-end delivery”

What You'll Achieve.

Turn model capability into outcomes; Ship agentic systems; Drive operational value

Industry & Context.

Technology
Problems you'll solve

Debug sessions

Eligibility Requirements

U.S. citizens, Eligible to maintain clearances, Work for Defense Communities, Work for Intel Communities

What They're Looking For.

Must Have

U. S. citizens, Eligible to maintain clearances, Experience in defense fields, Experience in intelligence fields

Nice to Have

Proficiency in infrastructure management, Expertise in encryption, Expertise in authentication, Expertise in Linux systems administration, Expertise in DevOps, Expertise in SRE, Production experience launching agentic services, Production experience launching forward-deployed AI applications, Experience as forward-deployed engineer, Experience as tech-led delivery role, Experience with federated data architectures, Experience with privacy-preserving data architectures

What You'll Do.

Provide solutions for full LLM stack

Own end-to-end delivery

Work directly with customers

Scope problems with customers

Sequence delivery with customers

Codify repeatable patterns

Full Job Description

About Adelphi: 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. 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. About the Role: The Forward Deployed Senior Machine 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 provide solutions for 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 will own 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. Clearance Requirement: An active U.S. Government Secret clearance is not required. Candidates must be U.S. citizens and be eligible to maintain and upgrade clearances as the role requires. Candidates need to be excited to work for the Defense and Intel Communities, and to apply AI to real applications for Government. Is this you? We are an AI-native engineering team. 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. - You use AI coding tools (Claude Code, Cursor, Copilot) daily and instinctively. - You prompt-engineer through complex architecture and debug sessions, leverage LLMs across the full development lifecycle, maintain a clear-eyed view of AI limitations in h

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