Senior Full Stack Engineer – Agentic, External Integrations

Peraton

. Design and build integrations between agents and external sources, including public APIs, licensed feeds, partner systems, enterprise systems, document repositories, and structured databases .

Posted 9/30/2026full-timeReston • Virginia • United StatesSenior💰 $146,000 - $234,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building integrations with external information sources, utilizing strong Python skills and experience with AI agents. Proficient in orchestration systems and familiar with LLM APIs, ensuring compliance and effective collaboration across teams.

Highest-signal resume keywords

Python Programming (3.12+)FastAPI DevelopmentAI Agent IntegrationREST/GraphQL API DevelopmentWorkflow Orchestration (Airflow, Prefect, Celery)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML SystemsMulti-Step ReasoningTool UseRAG PipelinesAsynchronous ProgrammingSchema MappingDeduplicationCachingError HandlingDocumentation

Soft Skills

Product MindsetComfort Operating with Ambiguity

Tools & Technologies

DockerPostgreSQLReactOpenAI APIsKubernetes

Industry Keywords

Federal ComplianceAgentic FrameworksSecrets ManagementOAuthPrompt-Injection Awareness

Tech Stack

Tools & technologies

AirflowAWSDockerGraphQLKubernetesPostgresPythonReact

About the role

Key responsibilities & impact

Design and build integrations between agents and external sources, including public APIs, licensed feeds, partner systems, enterprise systems, document repositories, and structured databases
Package integrations as agent-callable tools with clean interfaces, predictable I/O, error handling, and documentation
Own authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching for trustworthy external data
Build and evolve orchestration for multi-step agent workflows, including tool routing, parallel execution, and human-in-the-loop checkpoints
Contribute across FastAPI services, React UI, PostgreSQL schemas, and containerized deployments
Instrument systems 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

Requirements

What you’ll need

BS degree with 8 years professional experience, Associate degree with 10 years professional experience, MS degree with 6 years professional experience, or high school diploma/equivalent and 10 years professional experience with meaningful exposure to AI/ML systems or LLM-based products
Hands-on experience building with AI agents, including multi-step reasoning, tool use, RAG pipelines, or autonomous task execution
Experience integrating LLMs into production or near-production applications
Experience designing and building integrations to external information sources
Experience packaging external capabilities as agent tools or skills
Strong Python skills (3.12+), including async/await patterns, type hints, and modern Python tooling
Experience with FastAPI/Python backends, React frontends, Docker containerization, and PostgreSQL
Experience building and consuming REST, GraphQL, or comparable web APIs
Experience with authentication, pagination, rate limiting, retry/backoff, schema mapping, deduplication, and caching
Experience with workflow or task orchestration systems such as Airflow, Prefect, or Celery, or comparable agent orchestration patterns
Familiarity with agentic frameworks and concepts including chains, tool calling, and agent loops
Experience with LLM APIs such as OpenAI, Anthropic, or AWS Bedrock
Knowledge of secrets management, OAuth, API-key handling, defensive parsing, and prompt-injection awareness
Product mindset and comfort operating with ambiguity
US Citizenship is a requirement
Nice-to-have experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, OpenAI Agents SDK, Anthropic tool-use, or comparable frameworks
Nice-to-have experience with RAG systems, knowledge graphs, document stores, agent evaluation, observability, federal compliance, OpenTelemetry, Kubernetes, and distributed storage

Benefits

Comp & perks

Employees may be eligible for overtime
Shift differential may be available
Discretionary bonus may be available
Equal opportunity employment, including disability and protected veterans