Senior Agentic Engineering Team Lead

About Enlighten

At Enlighten, we believe AI should expand what people can take on. We build teams of AI agents alongside Fortune 500 companies so they can put their best thinking to work across the business. We want the people closest to the work to be able to ask hard questions and get answers they can trust. Our mission is to give every team the intelligence it needs to make decisions that shape the business.

About the role

You’ll lead a small product engineering team and write code alongside it. You’ll build the systems the team uses to develop with AI agents and own the architecture, verification, and readiness of what ships.

What you'll do

• Lead engineering delivery, contribute code daily, and give the team clear technical direction.
• Own backend architecture, APIs, database schemas, agent orchestration, and cloud infrastructure across Google Cloud and AWS.
• Build reusable foundations and documented patterns that keep product builders unblocked as new features take shape.
• Build reusable workflows that run multiple coding agents in parallel for implementation, testing, and review. Set up automated evaluations and regression checks, trace failures, and define when changes need an engineer’s review before release.
• Establish secure, scalable environments, with appropriate isolation and reliable paths from preview to production.
• Enforce type checks, linting, automated tests, and DeepSource security and quality checks. Require domain-expert review before changes are merged.
• Partner with engineering and product leadership on priorities, short iteration cycles, tradeoffs, and technical risk.
• Mentor engineers, help hire and shape the team, and turn recurring problems into lasting improvements to tools and standards.

What you bring

• 7+ years of software engineering experience, including senior ownership of production systems at scale.
• 2+ years leading engineers, as a formal manager or technical lead, with experience developing people and shaping a team.
• Strong backend and infrastructure skills, including Python, FastAPI, and Google Cloud or AWS.
• Full-stack fluency, including React and TypeScript, so you can support work across the product when needed.
• A track record of making practical architectural decisions for enterprise systems, balancing immediate delivery with long-term reliability.
• Experience improving engineering delivery, testing, security, and operational quality.
• Clear communication with technical and nontechnical teammates, including explaining decisions and their tradeoffs.
• Hands-on experience directing multiple coding agents and building reusable workflows for development and verification. You can inspect generated code, design meaningful checks, and diagnose failures before release.

Nice to have

• Experience with AI-assisted development tools such as Cursor or Claude Code, including choosing models and checking generated work.
• Experience with workflow orchestration, AI agents, or products that use large language models.
• Experience in a startup or small team where priorities evolve and people work across disciplines.

How we work

AI agents are core to how we get work done. You'll spend a substantial part of your day running multiple agents in parallel, building tools and workflows with them, and checking what they produce. You own the result. Verify the facts, calculations, code, and claims before they go into a decision, a customer conversation, or a release.

For engineering work, we plan meaningful changes before coding, favor simple designs, and build review lessons into reusable checks. Engineers own architecture, verification, and production readiness.

What success looks like

• Product builders can deliver features without recurring backend or infrastructure bottlenecks.
• AI supports the team's daily development, testing, and review work, with clear ownership of the results.
• Delivery and review become faster, with fewer defects reaching production.
• Engineers make decisions with confidence, and the product remains stable as the team ships more frequently.