Software Engineer

Posted 3 Days Ago
McLean, VA, USA
Hybrid
Mid level
Artificial Intelligence • Information Technology • Software
The Role
Build and maintain mission-critical platform features, shipping production services across the full data stack. Combine software development and MLOps, leverage LLMs and AI tooling daily, own features end-to-end, and collaborate on agentic systems for national security use cases. DC/Metro-based role with ~20% travel and clearance preference.
Summary Generated by Built In

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: As a Software Engineer, you will contribute to technical direction and help build and maintain mission-critical platform features. This role requires a mix of software development and ML Ops practices. The right candidate will bring solid experience building and shipping production services across the full data stack. Experience in the national security field is a plus. 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 debug software as an integral, daily extension of their workflow.

Location: This role is based in the DC/Metro area; remote candidates will be considered with 20% travel expected.

Clearance Requirement: An active U.S. Government clearance is strongly preferred, but we are open to clearance eligible candidates.

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.

  • Experience: You have 4-7 years of software engineering experience and are comfortable owning features end-to-end in a production environment. You think in systems, ask good questions, and thrive with autonomy.

  • Domain & Tech Stack: You have experience working with production data, are proficient in Python (Flask, FastAPI, or Django), and are comfortable in TypeScript/JavaScript (React, Next.js). Familiarity with AWS is a plus. Interest in government or national security environments is a strong plus.

  • AI-Native by Default: You use AI coding tools daily and instinctively, leverage LLMs across your development workflow, and have a clear-eyed view of when to trust AI-generated output and when to verify.

  • Mission-Driven: You are excited by how AI enables better solutions to hard, long-standing problems like data sharing, and you want to see that work deployed in environments where it matters.

Bonus Points:

  • Familiarity with vector stores or embedding-based systems.

  • Infrastructure experience (Docker, Kubernetes, AWS, GCP).

  • Exposure to encryption, authentication, DevOps, or SRE practices.

  • Any production experience with agentic services leveraging LLMs, embeddings, or inference.

Benefits:

  • Healthcare coverage: 100% employee premium and 50% dependents premium coverage of a platinum-level plan.

  • 401K with 2% company match.

  • $500 monthly Physical and Mental Health reimbursement program.

  • Unlimited time-off 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.

Skills Required

  • 4-7 years of software engineering experience
  • Proficiency in Python (Flask, FastAPI, or Django)
  • Comfortable with TypeScript/JavaScript (React, Next.js)
  • Experience building and shipping production services across the full data stack
  • Experience with MLOps practices and production ML workflows
  • Regular use of LLMs and AI coding tools as part of development workflow
  • Based in DC/Metro area preferred; remote considered with ~20% travel expected
  • Active U.S. Government clearance strongly preferred (open to clearance-eligible candidates)
  • Familiarity with AWS
  • Familiarity with vector stores or embedding-based systems
  • Infrastructure experience (Docker, Kubernetes, AWS, GCP)
  • Exposure to encryption, authentication, DevOps, or SRE practices
  • Production experience with agentic services leveraging LLMs, embeddings, or inference
Am I A Good Fit?
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The Company
HQ: New York, New York
7 Employees

What We Do

Adelphi’s vision is to enable the intelligence community to securely share data

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