Engineering Manager, AI Developer Platform

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

Work arrangement
No