AI-Driven Code Engineering Lead

MadHive; New York (NY); Hybrid; USD 200,000 - 225,000; Full time

Job summary

Madhive seeks an AI Code Engineering Lead to accelerate engineering velocity with AI-native practices. You will build and scale an agentic coding platform, enabling production code generation with engineers reviewing rather than writing it.

This is a hands-on role: you’ll work directly with engineering teams to ship acceleration fast, then turn what works into reusable building blocks the whole org can use. You’ll lead through technical credibility and influence.

Qualifications

• A builder who clears a staff-engineer bar (10+ years) at a strong company and still wants to ship.
• Evidence of driving adoption of an engineering practice or tool to org-wide scale.
• Expertise in agentic coding tools across the full SDLC (AI coding agents, eval/observability frameworks, CI/CD, testing).
• Hands-on with evaluation-driven development — precision/recall benchmarks, human review queues, and audit trails.

Responsibilities

• 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.
• Codify what works into reusable 'golden path' playbooks — deployment patterns, connector and building‑block templates, evaluation frameworks, and observability standards.

Skills

Staff engineer

Adoption leadership

AI tooling

Rigorous eval

Problem solving

Tools

AI coding tools

Eval harness

CI/CD

Observability

Job description

Madhive seeks an AI Code Engineering Lead to accelerate engineering velocity with AI-native practices. You will build and scale an agentic coding platform, enabling production code generation with engineers reviewing rather than writing it.

This is a hands-on role: you’ll work directly with engineering teams to ship acceleration fast, then turn what works into reusable building blocks the whole org can use. You’ll lead through technical credibility and influence.