Lead Software Engineer, Agentic Engineering

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We are looking for a Lead Software Engineer to join our Agentic Engineering team. You will help build a platform where specialized AI agents compose across technical domains - knowledge and policy, change/ITSM, network security, cloud, and source code. Instead of an engineer manually stitching together answers from a half-dozen tools, agents coordinate with each other to do the work. This is a hands-on technical role that requires strong proficiency in Python and Type Script, a track record of shipping systems that run reliably in production, and the judgment to set the technical bar for the engineers around you.

As a Lead, you own the execution of a meaningful part of the platform - driving designs, mentoring engineers, and turning direction into working software.

• Lead the technical delivery of a workstream - own the design and implementation of production agents and the services they depend on, from prototype to production.
• Set and uphold engineering standards - agent patterns, tool integration, testing, code quality, and observability practices that hold the bar high on your part of the platform.
• Build the agent platform hands-on - implement the shared services and protocols (e.g., agent-to-agent messaging, tool servers) that let agents discover and compose with one another reliably.
• Stay deep in the code - you spend most of your time writing code, prototyping hard problems, and pairing with engineers on the toughest parts of the system.
• Help ensure agents behave - build the testing, evaluation, and observability that verify agents stay accurate, cost-efficient, and within guardrails over time.
• Mentor and review - guide engineers through design reviews and code reviews, and unblock them on hard technical problems.
• Break work into shippable increments - translate architectural direction into a plan you and the engineers around you can execute and be proud of.

This role asks you to build autonomous systems that reason - agents that make decisions, call tools, and message one another. You're implementing how agents get built - the shared patterns, base abstractions, and "paved road" that make new agents fast to build and safe to run. You're responsible for knowing agents are behaving - observability, evaluation, and continuous checks, not a one-time test.

You're working in non-deterministic systems - where correctness, cost, and safety all have to be designed in, not bolted on.

• 6+ years of software engineering experience with strong proficiency in Python and/or Type Script.
• A track record of leading technical delivery - mentoring engineers, setting standards, and shipping complex systems.
• Experience building agentic or multi-step automated systems - tool orchestration, LLM reasoning loops, or agent frameworks.
• The ability to establish reusable patterns and technical direction that other engineers adopt.
• Experience designing for non-deterministic behavior, edge cases, and failure - and building the testing and observability to catch them.

• Experience building LLM safety, evaluation, or governance systems.
• Retrieval / hybrid search over enterprise knowledge.
• Background in platform engineering or developer tooling at enterprise scale.
• Experience with AWS, GCP, or Azure Terraform and infrastructure-as-code experience.
• Open-source contributions on public Git Hub.

Hybrid work.

Candidates must be located in the Farmington Hills / Metro Detroit, Michigan area. No remote candidates.

Position not available for immigration sponsorship.

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