Senior Full Stack Engineer — Agentic & External Integrations

Senior Full Stack Engineer

Give the agents something real to reach for….

Peraton | Reston, VA

Peraton is seeking a Senior Full Stack Engineer to join our team in Reston, VA.

We're hiring a Full Stack Engineer SME to engineer the next generation of agentic AI platforms— the integrations, connectors, and orchestration plumbing that let our agents reach out to external APIs, enterprise systems, document repositories, and knowledge graphs and actually get something done with what comes back. This is hands-on product engineering on a platform that Peraton mission teams and federal customers use every day.

Why This Role Stands Out

• Wire agents to the real world. Every integration you ship expands what our agentic platform can do — new data sources, new tools, new autonomous workflows for analysts and operators.
• Work on the leading edge of technology. Python 3.12+, FastAPI, React, Postgres, Docker, and the latest AI models across OpenAI, Anthropic, Google, and more.
• Build next-generation agentic tools is the norm. Agentic flows, human-in-the-loop, evals — you'll be practicing this daily with our customers.
• Product-centric mindset. FedRAMP, FIPS, Iron Bank, OPA are in scope, and we ship like a product org.

What You'll Do

• Design and build integrations between our agents and external sources — public APIs, licensed feeds, partner systems, customer enterprise systems, document repositories, and structured databases.
• Package those integrations as agent-callable tools: clean interfaces, predictable I/O, sound error handling, and documentation the agents (and the humans configuring them) can actually rely on.
• Own the production concerns that make external data trustworthy — auth, pagination, rate limiting, retry/backoff, schema mapping, deduplication, caching.
• Build and evolve orchestration for multi-step agent workflows, including tool routing, parallel execution, and human-in-the-loop checkpoints.
• Contribute across the stack — FastAPI services, React UI for tool configuration and observability, Postgres schemas, containerized deploys.
• Instrument what you ship. Traces, metrics, evals, and regression tests for non-deterministic agent behavior.
• Partner with platform, security, and mission engineers to move capabilities from prototype to production inside federal compliance boundaries.

What You Bring

Must-Haves

• BS degree with 8 years professional experience, Associates degree with 10 years professional experience or MS degree with 6 years professional experience, or high school diploma/equivalent and ten years professional experience with meaningful exposure to AI/ML systems or LLM-based products
• Hands-on experience building with AI agents — multi-step reasoning, tool use, RAG pipelines, or autonomous task execution — and integrating LLMs into production or near-production applications
• Demonstrated experience designing and building integrations to external sources of information — public APIs, licensed data feeds, partner systems, customer enterprise systems, web content, document repositories, or structured databases
• Demonstrated experience packaging external capabilities as agent tools or skills with clean interfaces, predictable inputs and outputs, sound error handling, and documentation that AI agents and the humans configuring them can rely on
• Strong Python skills (3.12+); comfort with async/await patterns, type hints, and modern Python tooling
• Comfort working across the stack:
  FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL
• Experience building and consuming web APIs (REST, GraphQL, or comparable) and handling the integration concerns that make external data trustworthy in production — authentication, pagination, rate limiting, retry/backoff, schema…