Engineering Manager, AI Developer Platform

Huxley; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Huxley is seeking an Engineering Manager to lead a hands-on team building AI-enabled development experiences. The team develops systems for software agents to operate within real engineering environments, handling agent execution, tool use, context handling, and long-running workflows.

You will grow and support the engineering team, influence technical direction, and stay closely involved in architecture and implementation across distributed systems and applied AI.

Qualifications

• Hands-on leadership of software engineering teams.
• Strong, recent hands-on experience with Go and React/TypeScript.
• 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 and cloud platforms (AWS).
• Proven ability to mentor engineers while maintaining delivery and quality.

Responsibilities

• 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.

Skills

Go

React

TypeScript

Distributed systems

AWS

Mentoring

Leadership

Job 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

What We're Looking For

• 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

EOE Statement: Specialist Staffing Group is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

In addition to base pay, direct-hire employees may be eligible for client offered benefits such as medical, dental, and vision coverage, and paid leave where required by applicable law. Eligibility may vary based on factors such as location and hire date and is subject to change.

To find out more about Huxley, please visit www.huxley.com