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- Tasks: Own and ship innovative AI features from concept to production.
- Company: Join Plain, a forward-thinking tech company redefining customer support.
- Benefits: Competitive salary, dynamic startup culture, and opportunities for growth.
- Why this job: Make a real impact in AI while collaborating with top companies.
- Qualifications: Experienced backend engineer with hands-on AI product experience.
- Other info: Fast-paced environment with high ownership and career advancement.
The predicted salary is between 90000 - 130000 ÂŁ per year.
Plain is redefining customer support for the next generation of B2B companies. We are building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships. Some of the worldâs most forwardâthinking companies â like Cursor, Raycast, and Granola â trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI.
Base pay range: ÂŁ90,000 â ÂŁ130,000 per year (pay commensurate with skills and experience).
Responsibilities:
- Own and ship AI features such as agents, assistants, insights, and more â from concept to production.
- Design and implement backend services for AI integrations and data pipelines.
- Build robust APIs and abstractions for internal AI usage.
- Drive system scalability: caching, optimization, processing patterns, etc.
- Contribute and drive the evolution of the infrastructure for AI, including architecture, evaluation, and iteration pipelines.
- Solve complex AI challenges around accuracy, reliability, and quality using rigorous quantitative approaches.
- Advocate for our work externally â writing, speaking, and engaging with the broader AI community.
Qualifications:
- Experienced backend engineer who has shipped AI products in the OpenAI & Anthropic era â especially text and dataâheavy AI applications.
- Handsâon experience with LLM orchestration and LLM API optimization (costs, latency, etc.).
- Familiar with RAG architectures and technologies.
- Experience with AI observability; able to conclusively determine impact.
- Clear perspective on what makes a great AI product â precision, nuance, and real impact, not a gimmick.
- Productâmindful and customerâfocused in software building.
- Measure success by user impact, not just technical elegance.
- Selfâdriven, impactâfocused, and thrive in a fastâmoving, highâownership environment.
- Bonus: experience with agent frameworks and design.
Not the right fit if you...
- Have primarily academic or research ML/AI experience; this role seeks applied AI experience.
- Think AI for support is just chatbots and deflection.
- Struggle with ambiguity in an earlyâstage startup context.
- Prioritize the latest tech for its own sake; we choose tools that make us productive.
- Are looking for a management role. This is a handsâon individualâcontributor position.
- Want the perks of a big company; we are a startup with a different opportunity.
Equal Opportunity Statement: We are an equalâopportunity employer. At this time, we can only support hiring within Europe for this role.
Location: United Kingdom â London, England
Senior Product Engineer (AI) in London employer: Plain
Contact Detail:
Plain Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Product Engineer (AI) in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the AI and product engineering space, especially those who work at companies you admire. A friendly chat can open doors that a CV just can't.
â¨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. When you apply through our website, include links to your work so we can see your genius in action.
â¨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. We love candidates who can tackle complex AI challenges, so practice articulating your thought process clearly.
â¨Tip Number 4
Be yourself! Weâre looking for someone whoâs self-driven and impact-focused. During interviews, let your passion for AI and customer-centric product development shine through.
We think you need these skills to ace Senior Product Engineer (AI) in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Product Engineer (AI) role. Highlight your experience with AI products and backend engineering, and donât forget to showcase any relevant projects that demonstrate your skills in LLM orchestration and API optimisation.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about AI and how your background aligns with our mission at Plain. Be sure to mention specific experiences that relate to the responsibilities listed in the job description.
Showcase Your Impact: When detailing your past roles, focus on the impact you made rather than just listing tasks. Use metrics where possible to illustrate how your contributions improved product performance or user satisfaction, as we value results-driven candidates.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen on joining our team at Plain!
How to prepare for a job interview at Plain
â¨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially around LLM orchestration and RAG architectures. Be ready to discuss your hands-on experience with AI products and how you've tackled challenges in the past.
â¨Showcase Your Product Mindset
Prepare examples that highlight your customer-focused approach to software building. Think about how you've measured success by user impact rather than just technical metrics, and be ready to share these insights during the interview.
â¨Be Ready for Technical Questions
Expect to dive deep into technical discussions about backend services, APIs, and system scalability. Brush up on caching, optimisation, and processing patterns, as these are crucial for the role. Practice articulating your thought process clearly.
â¨Engage with the AI Community
Since advocacy is part of the role, think about how you can demonstrate your engagement with the broader AI community. Whether it's writing articles, speaking at events, or participating in forums, show that you're not just a techie but also a thought leader.
