1 день назад
Engineering Manager (AI)
94 000 - 141 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Leading a team building and evolving agentic development systems across agent harnesses, integrations, and developer workflows with an accent on Go, LLM-based systems, distributed architecture, and reliable execution. Focus on improving agent tool use, context management, streaming, long-running workflows, provider-agnostic model abstractions, and system operability.
Location: Remote from the United Kingdom, Ireland, or Poland
Compensation: £94K–£141K in the United Kingdom; €140K–€210K in Ireland; PLN 475K–PLN 713K in Poland, plus equity and bonus opportunities.
Company
provides self-hosted, agent-ready development workspaces that help enterprises run secure, governed human and AI-driven development workflows.
What you will do
- Lead and grow an engineering team within the Agentic Engineering organization.
- Set technical direction for the agent harness, integrations, and developer workflows.
- Contribute to architecture and implementation decisions while remaining hands-on with the code.
- Evolve agent execution, tool use, context management, streaming, and long-running workflows.
- Improve reliability, performance, and operability across agentic systems.
- Partner with Product and Design to turn agent capabilities into useful developer experiences.
Requirements
- Experience managing and growing software engineering teams.
- Strong hands-on engineering experience with Go, plus experience with React and TypeScript.
- Hands-on experience building systems around LLMs and agentic workflows, including model APIs, tool calling, context management, or agent loops.
- Strong knowledge of distributed systems and working knowledge of AWS.
- Technical judgment, comfort with ambiguity, and a track record of helping engineers grow while maintaining a high execution bar.
Nice to have
- Experience building coding agents, developer tools, or cloud development environments.
- Experience with MCP, agent tools, multi-agent systems, remote execution, sandboxing, or isolated compute.
- Experience building abstractions across multiple model providers.
- Deep experience with AWS, Kubernetes, Docker, or Linux.
- Open-source contributions or experience working directly with customers.
Culture & Benefits
- Remote employment is available across the United Kingdom, Ireland, and Poland.
- Compensation includes equity and bonus opportunities.
- supports transparent, consistent, and structured interviewing.
- AI tools may be used in take-home assessments when their use is disclosed; AI assistance is not permitted during conversational interviews.
- Hiring decisions are made by human reviewers.
Hiring process
- The process is intended to take two to four weeks when schedules allow.
- Interviews include individual contributors, managers, and senior leaders.
- Take-home assessments may use AI tools if the usage is honestly disclosed.
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