12 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
About Plain
Plain builds an API-first, AI-native platform for B2B customer support and success, unifying conversations and automating workflows across channels and internal tools. It sells subscription software to software companies that need to integrate support into their product and operations, with hands-on engineering for migrations and custom workflows. Founded in 2020 and based in London, customers include Vercel, Cursor, and Granola.