Engineering Lead, AI-Driven Dev Productivity (London)

Humanoid; Greater London; Hybrid; GBP 110,000 - 160,000; Full time

Benefits offered by this job

Competitive equity

30+ paid days off

Private healthcare

Pension scheme

Free daily breakfast

Working with world-class engineers

Direct access to founding leadership

Job summary

Humanoid in London is seeking an Engineering Lead to own developer productivity in the age of AI and agents. You will build platforms, environments, and controls to accelerate engineers while protecting code, infrastructure, and robots.

This hands‑on leadership role requires leading a new productivity team, shipping secure runtimes, and collaborating across Security, Safety, Simulation, and robot software to reduce costs and defects.

Qualifications

• Experience building and operating developer tooling or infrastructure used across engineering teams, such as build systems, CI/CD, test infrastructure, deployment pipelines, or internal platforms.
• Strong software engineering skills and comfort working in large codebases or monorepos.
• Practical experience with Linux, containers, and cloud infrastructure, plus working knowledge of Kubernetes.
• Hands‑on experience using and integrating coding agents into real engineering workflows. You understand how context, tools, and evals affect reliability, latency, and cost, and can talk concretely about what worked and what didn’t.
• Sound security judgment around workload isolation, identity, permissions, and credentials. You can design appropriate boundaries for agents accessing code, infrastructure, and company resources.
• Experience building reliable automated tests or verification systems and diagnosing failures across code, tooling, and infrastructure. You have good judgment about what automated checks establish and where human review still matters.
• Experience leading engineers while remaining hands‑on. You can set technical direction, recruit a strong team, and turn an ambitious goal into systems that engineers use and trust.

Responsibilities

• Own the path from an agent task to a healthy deployed change, including acceptance criteria, execution, verification, merge, rollout, monitoring, and rollback.
• Build secure, reproducible agent runtimes with task-scoped identity, short‑lived credentials, bounded access, cost controls, and re‑playable execution records. Proactively detect unauthorized agent activity across our compute clusters, whether internal or external.
• Build the interfaces developers use to launch, monitor, and control agents, alongside tooling for agents to collaborate through shared memory, coordinated work, and appropriately authorized access to company resources.
• Reduce the tokens and retries required for accepted work through better context assembly, model and tool routing, caching, task decomposition, and feedback.
• Give agents fast access to builds, tests, simulation, replay, and hardware-in-the-loop, with acceptance criteria they cannot alter.
• Work with engineering teams to make the codebase easier to navigate and verify through clear interfaces, strong invariants, reproducible environments, fast local checks, and well‑documented implementation paths.
• Recruit and lead the team while remaining hands‑on. Measure success through cost per accepted change, human review time, escaped defects, and time from push to healthy on the robot.

Skills

Developer tooling

Team leadership

Security mindset

Linux

Containers

Kubernetes

Code collaboration

Performance troubleshooting

Tools

Linux

Docker

Kubernetes

CI/CD

Job description

Humanoid in London is seeking an Engineering Lead to own developer productivity in the age of AI and agents. You will build platforms, environments, and controls to accelerate engineers while protecting code, infrastructure, and robots.

This hands‑on leadership role requires leading a new productivity team, shipping secure runtimes, and collaborating across Security, Safety, Simulation, and robot software to reduce costs and defects.