10 months ago
London, United KingdomSenior
Responsibilities
- Own and ship AI features including agents, assistants, and insights from concept to production.
- Design and implement backend services for AI integrations and data pipelines.
- Build APIs and abstractions for internal AI usage.
- Improve scalability through caching, optimization, and processing patterns.
- Evolve AI infrastructure, architecture, evaluation, and iteration pipelines.
- Solve AI accuracy, reliability, and quality challenges using quantitative approaches.
- Advocate for Plain’s AI work through writing, speaking, and engagement with the broader AI community.
Requirements
- Experienced backend engineer who has shipped applied AI products, particularly text- and data-heavy applications.
- Hands-on experience with LLM orchestration and LLM API optimization for cost and latency.
- Familiarity with RAG architectures and technologies.
- Experience with AI observability and measuring product impact.
- Product-minded and customer-focused approach to software development.
- Ability to work independently and take ownership in a fast-moving, ambiguous startup environment.
- Experience with agent frameworks and design is a bonus.
- Academic or research-focused ML/AI experience alone is not the intended background; the role seeks applied AI experience.
- This is a hands-on individual contributor role rather than a management position.
Benefits
- Hybrid work arrangement with three days per week in the London office.
- Competitive compensation for the company’s startup stage.
Tech Stack
Categories
AI ApplicationsProduct Engineering