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Peraton

Runs and secures technology for federal agencies

Senior Full Stack Engineer - Agentic & External Integrations

AI Application Engineering +1Posted on Nov 9
Full-timeReston, VA, USA

About the Job

Requirements

  • A BS degree with 8 years of professional experience, an associate's degree with 10 years of professional experience, an MS degree with 6 years of professional experience, or a high school diploma/equivalent with 12 years of professional experience and meaningful exposure to AI/ML systems or LLM-based products is required.
  • Hands-on experience building with AI agents, including multi-step reasoning, tool use, retrieval-augmented generation pipelines, or autonomous task execution, and integrating large language models into production or near-production applications is required.
  • Demonstrated experience designing and building integrations to external information sources such as public APIs, licensed data feeds, partner systems, customer enterprise systems, web content, document repositories, or structured databases is required.
  • Demonstrated experience packaging external capabilities as agent tools or skills with clean interfaces, predictable inputs and outputs, sound error handling, and reliable documentation is required.
  • Strong Python skills, including Python 3.12 or later, async/await patterns, type hints, and modern Python tooling, are required.
  • Experience across FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL is required.
  • Experience building and consuming web APIs such as REST or GraphQL and handling production integration concerns including authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching is required.
  • Experience with workflow or task orchestration systems such as Airflow, Prefect, or Celery, or comparable distributed execution frameworks or agent orchestration patterns, is required.
  • Familiarity with agentic frameworks and concepts such as chains, tool calling, and agent loops is required.
  • Experience working with large language model APIs such as OpenAI, Anthropic, or AWS Bedrock is required.
  • A solid grounding in agentic and external-integration security concerns, including secrets management, OAuth and API-key handling, rate-limit etiquette, defensive parsing, and prompt-injection awareness, is required.
  • A product mindset focused on end users is required.
  • Comfort operating with some ambiguity in a fast-moving environment is required.
  • U.S. citizenship is required.

Responsibilities

  • Design and build integrations between agents and external sources, including public APIs, licensed feeds, partner systems, customer enterprise systems, document repositories, and structured databases.
  • Package integrations as agent-callable tools with clean interfaces, predictable inputs and outputs, sound error handling, and documentation for agents and the people configuring them.
  • Own production concerns that make external data trustworthy, including authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and 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 by building FastAPI services, React interfaces for tool configuration and observability, PostgreSQL schemas, and containerized deployments.
  • Instrument shipped capabilities with traces, metrics, evaluations, and regression tests for non-deterministic agent behavior.
  • Partner with platform, security, and mission engineers to move capabilities from prototype to production within federal compliance boundaries.

Desired Qualifications

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

About the Company

Peraton

Runs and secures technology for federal agencies

Peraton builds and runs secure technology for American defense, intelligence, space, and civilian agencies, from military networks to satellite ground stations. In 2025, the Federal Aviation Administration chose it to manage the overhaul of the nation's air traffic control system, replacing copper wiring with fiber and upgrading radar and radios. Its engineers, many holding security clearances, run and defend agency networks and data centers, write mission software, and operate space and communications systems, and agencies pay for this work through multiyear contracts. Peraton was formed in 2017, when private-equity firm Veritas Capital bought Harris Corporation's government IT business, and is based in Reston, Virginia.

Company size
10,001+
Company stage
Grant
Total funding
$60M
Headquarters
Reston, VA
Founded
2017

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