Software Engineer - Agentic AI Platform
Company: Peraton
Location: US-NJ-Basking Ridge | US-NJ-Woodbridge | US-NJ-Red Bank (Remote)
Salary: $104k - $166k per year
Type: Full-time
Remote: Yes
Posted: 2026-06-02
About this role
## Responsibilities
Peraton Labs is seeking an AI/ML Software Engineer to join the Labs Agentic AI team, you'll design, build, and ship AI-powered systems a compliance-ready, low-code platform for dynamically generating and orchestrating AI agentic workflows. You'll work across the full product lifecycle: from architecting multi-step agentic pipelines backed by Temporal.io, to building the plugin system, APIs, and interfaces that bring them to life, from within federal-grade security and accreditation constraints.
This is a role for someone who thinks deeply about how AI agents should behave in high-trust environments, cares about reliability and auditability, and can move fluidly between distributed orchestration, backend systems, and product-facing features.
Your responsibilities may include:
- Design and implement agentic AI capabilities using Python-based frameworks (LangChain, LangGraph, DeepAgents) and orchestrated workflows
- Build and maintain integrations with LLM APIs (Anthropic/Claude, OpenAI, AWS Bedrock, Ollama) to power intelligent, multi-step automations
- Develop full-stack product features (FastAPI + React) that surface AI capabilities to users — from REST APIs and streaming interfaces to workflow builders and dashboards
- Instrument agent pipelines with OpenTelemetry tracing, provenance audit trails, and observability tooling for debugging and performance evaluation
- Write clear, well-tested, maintainable code that passes strict pre-commit validation, and contribute to engineering standards in a compliance-driven environment
- Evaluate agent performance, debug distributed workflows, and continuously improve reliability and output quality
## Qualifications
Minimum Requirements:
- Minimum of a BS degree with 5 years of experience, MS degree with 3 years, or PhD with meaningful exposure to AI/ML systems or LLM-based products
- Hands-on experience building agentic systems using multi-step reasoning, tool use, RAG pipelines, or auton...