AI Code Engineering Lead

Join Madhive, an R&D company focused on revolutionizing engineering practices with AI-native tools and workflows. As the AI Code Engineering Lead, you will build and scale our agentic coding platform, working directly with engineering teams to accelerate productivity. This hands-on role requires technical credibility and influence, as you will manage a portfolio of velocity V1s and facilitate smooth handoffs to the engineering organization. Success will be measured by the share of eligible shipped code produced by autonomous AI workflows and supporting metrics such as delivery velocity and developer experience.

• Own AI-native engineering practice, the eval harness, reusable AI building blocks, and developer tooling that dramatically raise output.
• Manage a portfolio of velocity V1s, ensuring each is integrated into the CTO’s org (which owns architecture, delivery, and V2).
• Facilitate smooth handoffs to the engineering organization; ensure every acceleration V1 lands in the CTO’s org with a named owner identified upfront.
• Adoption Leadership: Evidence of driving adoption of at least one engineering practice or tool to org-wide scale through Product & Engineering organizations
• Eval Rigor: Hands-on with evaluation-driven development — precision/recall benchmarks, human review queues, and audit trails — not just standing up an eval harness
• Technical Excellence: A builder who clears a staff-engineer bar (10+ years experience) at a strong company and still wants to ship. You have a history of shipping production code at staff scope
• Tool Fluency: Expertise in agentic coding tools across the full SDLC (AI coding agents, eval/observability frameworks, CI/CD, testing). Experience building or running an eval harness is essential
• Mindset: Grit in ambiguous problems and curiosity about business mechanics. You reason rigorously about how AI can inflate output and design specifically against stability risks