> Markdown version of [/jobs/ext/2984774-engineering-manager-ai-developer-platform](https://www.wearedevelopers.com/jobs/ext/2984774-engineering-manager-ai-developer-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Engineering Manager, AI Developer Platform

- **Company:** Huxley Associates
- **Location:** United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computing Platforms, Cloud Computing, Continuous Integration, Linux, Programming Tools, Distributed Systems, Github, PostgreSQL, Prometheus, Software Engineering, Systems Integration, TypeScript, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Software Application Programming, Backend, Kubernetes, Free and Open-Source Software, Front End Software Development, Docker
- **Published:** September 18, 2026
- **Apply:** https://www.huxley.com/en-gb/job/engineering-manager-ai-developer-platform/4072734

## About the Role

* Experience managing and developing software engineering teams
 * Strong, recent hands-on experience with Go
 * Professional experience with React and TypeScript
 * Hands-on experience building applications or infrastructure around LLMs and software agents
 * Familiarity with model APIs, tool calling, context management, or iterative agent execution
 * Strong knowledge of distributed systems
 * Working knowledge of AWS
 * Sound technical judgment and comfort making decisions in ambiguous environments
 * A track record of mentoring engineers while maintaining delivery and quality standards

Helpful Experience

 * Coding agents, developer tools, or cloud-based development platforms
 * MCP, multi-agent systems, or reusable agent tools
 * Remote execution, sandboxed environments, or isolated compute
 * Integrations spanning multiple AI model providers
 * AWS, Kubernetes, Docker, or Linux
 * Open-source contributions
 * Direct collaboration with customers or enterprise users

Technology Environment

 * Backend: Go and PostgreSQL
 * Frontend: TypeScript and React
 * Infrastructure: AWS and Kubernetes
 * Observability: Prometheus and Grafana
 * CI/CD: GitHub Actions

## Description

We are partnering with a growing developer infrastructure company seeking a hands-on Engineering Manager to lead a team building AI-enabled development experiences.

The team develops the systems that allow software agents to operate effectively within real engineering environments. The work covers agent execution, integrations, tool use, context handling, streamed interactions, and workflows that may run over extended periods.

This person will grow and support the engineering team, influence technical direction, and remain closely involved in architecture and implementation. The role offers a combination of people leadership, product development, distributed systems, and applied AI.

What You'll Do

 * Lead, coach, and grow a team of software engineers
 * Help set the technical direction for agent execution, integrations, and developer workflows
 * Stay close to the code and participate in architecture and implementation decisions
 * Improve how software agents use tools, manage context, stream results, and complete long-running tasks
 * Create flexible integrations that can support multiple AI models and providers
 * Partner with Product and Design to turn emerging AI capabilities into practical developer experiences
 * Improve the reliability, performance, and operational health of distributed agent systems
 * Establish clear priorities and help the team navigate technical tradeoffs
 * Maintain a strong engineering bar while creating opportunities for individual growth


## Related Videos

- [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker)
- [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker)

## Related Articles

- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)