Senior Full Stack Engineer — Agentic & External Integrations

Responsibilities

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.

Were 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 youll be practicing this daily with our customers.
• Product-centric mindset. FedRAMP FIPS IronBank OPA are in scope and we ship like a product org.

What Youll 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.

Qualifications

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 mapping deduplication and caching
• Experience with workflow or task orchestration systems (Airflow Prefect Celery or similar distributed execution frameworks) or comparable agent orchestration patterns
• Familiarity with agentic frameworks and an understanding of the underlying concepts (chains tool calling agent loops) that transfer across tools
• Experience working with LLM APIs (OpenAI Anthropic AWS Bedrock or similar)
• Solid grounding in the security concerns specific to agentic and external integration work secrets management OAuth and API-key handling rate-limit etiquette defensive parsing and prompt-injection awareness
• A product mindset: you think about the end user not just the technical implementation
• Comfort operating with some ambiguity in a fast-moving environment
• US Citizenship is a requirement for this position

Nice-to-Haves

• Production experience with agent frameworks (LangChain LangGraph LlamaIndex CrewAI AutoGen OpenAI Agents SDK Anthropic tool-use or comparable) and a sound point of view on when each is the right tool
• Experience designing and operating retrieval-augmented generation systems chunking strategies embedding models vector stores hybrid retrieval reranking and grounding/citation patterns
• Experience integrating with knowledge graphs document stores or curated content repositories as agent-accessible sources
• Experience evaluating agent and LLM systems building eval harnesses golden datasets regression testing and observability for non-deterministic systems
• Exposure to orchestration patterns: supervisor agents parallel tool calls human-in-the-loop flows DAG-based pipeline execution
• Experience building plugin or extension systems: dynamic code loading container isolation API mixin patterns
• Familiarity with prompt engineering evaluation frameworks or agent observability
• Familiarity with federal compliance environments: FedRAMP FIPS 140-2/3 IronBank container hardening OPA policy enforcement or Section 508 accessibility
• Experience with observability tooling: OpenTelemetry Jaeger Prometheus Grafana or similar distributed tracing/metrics stacks
• Experience with container orchestration (Docker SDK Kubernetes) and distributed storage (S3 MinIO JuiceFS)
• Prior work building internal tooling enterprise automation products or platforms for government customers

Why Peraton

Peraton is a next-generation national security company delivering mission capabilities across defense intelligence space cyber and federal civilian markets. The work you do here compounds across every Peraton mission that plugs into our agentic platform.

Ready to Build

If youve been waiting for an agentic role where the integrations the tools and the guardrails all matter equally apply. We want to see what youd wire up first.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the worlds leading mission capability integrator and transformative enterprise IT provider we deliver trusted highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land sea space air and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day our employees do the cant be done by solving the most daunting challenges facing our customers. Visit to learn how were keeping people around the world safe and secure.

Target Salary Range

$146000 - $234000. This represents the typical salary range for this position. Salary is determined by various factors including but not limited to the scope and responsibilities of the position the individuals experience education knowledge skills and competencies as well as geographic location and business and contract considerations. Depending on the position employees may be eligible for overtime shift differential and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer including disability and protected veterans or other characteristics protected by law.

Required Experience:

Senior IC