About this role
Role: AI Engineer — Agentic Systems
Location: Austin, TX (Fully Onsite)
Mid-Level Individual Contributor | 5+ Years Experience
Role Summary:
We are hiring an AI Engineer to design, build, and operate agentic AI systems — LLM-powered agents that reason over enterprise data, call tools, and execute multi-step workflows end to end.
This is a hands-on engineering role at the center of how we automate complex technical and operational work. You will take ambiguous problems, decompose them into agent workflows,
and ship production services that engineering teams depend on daily.
This is an ideal role for an engineer with a strong Python and ML foundation who has already shipped LLM or RAG applications and now wants to go deeper into orchestration,
tool-calling, and autonomous multi-agent architectures. You will work within an established platform and architecture, with senior engineers available for design review —
but you will own your components from prototype through production.
Key Responsibilities:
Agent Design & Orchestration
• Build and ship LLM-powered agents that plan, call tools, and complete multi-step tasks using frameworks such as LangChain, LangGraph, or equivalent orchestration libraries.
• Implement multi-agent workflows — planner, executor, reviewer, and specialist roles — including state handling, hand-off logic, retries, and graceful failure paths.
Design and expose tools to agents via function-calling and Model Context Protocol (MCP) servers, wrapping internal APIs, databases, and enterprise systems as safe, well-scoped agent capabilities.