We need someone capable of building and shipping agentic systems with LangGraph, LangChain, tool-calling, and multi-step orchestration; operating cloud infrastructure (EKS, Terraform, Helm) and LLM gateway patterns across AWS Bedrock, Anthropic, OpenAI, Cohere, self-hosted models and provider-agnostic architectures; and defining and measuring agent quality through evaluation suites, then translating results into model selection and architecture decisions.

As a key partner to our Product and Engineering teams, which are seeking to identify and deploy AI workflows across onboarding, deployment, monitoring, and remediation, you will advise on agent architecture and scope, model selection, implementation, and responsible AI governance. You will build documentation and reusable components that multiply organizational AI capability, serving as technical authority translating research-grade AI systems into mission-ready product.

Note: Candidates must reside in one of our approved hiring hubs:

DC/Maryland/Virginia

Raleigh/Durham/Chapel Hill, NC

Denver/Colorado Springs, CO

Dallas/Fort Worth, TX

This is a full-time position.

Architect production agentic AI systems using LangGraph and LangChain with focus on reliability, traceability, and measurable output quality.

Build agent components including ingestion pipelines, embedding strategies, chunking, retrieval, and re-ranking, and tool suites across managed knowledge-base services, vector databases, and internal and external APIs.

Connect agents to corporate tools and knowledge through Model Context Protocol, constructing both MCP servers and consuming clients.

Establish and operate cloud infrastructure for R&D AI systems: Amazon EKS, Terraform, Helm, and GitOps delivery patterns.

AI Software Engineer

Responsibilities

Qualification

Preferred

Benefits

Company

Second-Front-Systems

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