高级全栈AI工程师
Senior Full Stack AI Engineer
AI开发工程限定地区(需当地身份)日间重叠仅 1 小时,需熬夜配合
公司Chaos Labs
薪资未公开
工作地点United Kingdom
地域资格限定地区(需当地身份)
时区要求日间重叠仅 1 小时,需熬夜配合
用工类型Full Time
发布时间8 天前
数据来源Himalayas
注意地域限制:该职位明确限定在 United Kingdom 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
作息提示:日间重叠仅 1 小时,需熬夜配合。
Description
Chaos Labs builds infrastructure for organizations adopting AI at scale. Our products help organizations understand their AI work, capture the knowledge it generates, and turn everyday AI activity into intelligence they own.
Reporting directly to the Tech Lead, you'll play a key role in building AI-native products used by organizations adopting AI at scale. You'll own features end-to-end, influence technical decisions, and help shape the next generation of enterprise AI.
Responsibilities
- Build responsive frontend applications exclusively with React and TypeScript.
- Develop scalable backend services and APIs using Python and Rust.
- Integrate applications with AWS or GCP infrastructure.
- Design and maintain databases, integrations, automated tests, and CI/CD pipelines.
- Optionally develop AI features involving LLMs, RAG, embeddings, vector databases, and agents.
- Monitor and improve application reliability, performance, security, and cost.
Requirements
- 5+ years of professional software engineering experience.
- Strong Python and JavaScript/TypeScript skills.
- Production experience with React.
- Backend API and distributed-systems experience.
- Familiarity with AWS, Azure or GCP.
- Familiarity with Kubernetes
- Familiarity with SQL and NoSQL databases.
- Experience with Rust, Go, or another statically typed language is a plus.
- Familiarity with RAG, embeddings, vector databases, AI agents, and prompt evaluation is a plus.
- Strong communication, product thinking, and problem-solving skills.
Preferred Qualifications:
- Flexibility to work remotely. Ability to travel up to 30% of the year to collaborate in person with the team
- Proficiency in [specific tools/languages relevant to the role].
- Familiarity with profiling tools and performance optimization techniques.
- Demonstrated ability to work in a fast-paced, collaborative environment.
Benefits:
- Compensation & Equity – competitive package aligned with growth, performance, and merit
- Career Growth Opportunities – be part of a rapidly expanding, global technology company with room to grow professionally
Originally posted on Himalayas
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