Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Own and ship innovative AI features from concept to production.
- Company: Join Plain, a cutting-edge startup redefining customer support with AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make a real impact in the AI space with forward-thinking companies.
- Qualifications: Experienced backend engineer with hands-on AI product experience.
- Other info: Fast-paced startup culture with high ownership and autonomy.
The predicted salary is between 90000 - 130000 ÂŁ per year.
Join to apply for the Senior Product Engineer (AI) role at Plain. Plain is redefining customer support for the next generation of B2B companies. We’re building the fastest, most powerful platform to help companies move beyond reactive support and build true customer relationships. Some of the world’s most forward‑thinking companies – like Cursor, Raycast, and Granola – trust Plain to unify all customer interactions, enable faster team collaboration, and supercharge their workflows with AI.
Base pay range £90,000 – £130,000 per year (pay commensurate with skills and experience).
Responsibilities
- Own and ship AI features such as agents, assistants, insights, and more – 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 – writing, speaking, and engaging with the broader AI community.
Qualifications
- Experienced backend engineer who has shipped AI products in the OpenAI & Anthropic era – especially text and data‑heavy AI applications.
- Hands‑on 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 – precision, nuance, and real impact, not a gimmick.
- Product‑mindful and customer‑focused in software building.
- Measure success by user impact, not just technical elegance.
- Self‑driven, impact‑focused, and thrive in a fast‑moving, high‑ownership 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 early‑stage 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 hands‑on individual‑contributor position.
- Want the perks of a big company; we are a startup with a different opportunity.
Equal Opportunity Statement
We are an equal‑opportunity employer. At this time, we can only support hiring within Europe for this role.
Location: United Kingdom – London, England
Senior Product Engineer (AI) employer: Plain
Contact Detail:
Plain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Engineer (AI)
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. This is your chance to demonstrate your hands-on experience and what makes you a great fit for the role.
✨Tip Number 3
Prepare for the interview by diving deep into Plain's products and their approach to customer support. Be ready to discuss how your experience aligns with their mission and how you can contribute to their AI features.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Plain.
We think you need these skills to ace Senior Product Engineer (AI)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Product Engineer (AI) role. Highlight your experience with AI products and backend engineering, and show us how your skills align with our mission at Plain.
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made rather than just listing tasks. We want to see how your contributions have driven success in previous roles, especially in AI applications.
Be Authentic: Let your personality shine through in your application. We’re looking for self-driven individuals who thrive in a fast-paced environment, so don’t be afraid to share your passion for AI and customer support!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at Plain!
How to prepare for a job interview at Plain
✨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 specific projects where you've shipped AI products, as this will show your hands-on experience and understanding of the field.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex AI challenges you've faced and how you tackled them. Use examples that highlight your ability to drive system scalability and improve accuracy and reliability in AI applications. This will demonstrate your impact-focused mindset.
✨Understand the Product Mindset
Plain is looking for someone who is product-minded and customer-focused. Think about how you've measured success in previous roles—not just by technical metrics but by user impact. Be ready to share how you've built software with the end-user in mind.
✨Engage with the AI Community
Since advocacy is part of the role, think about ways you've engaged with the broader AI community. Whether it's writing articles, speaking at events, or contributing to discussions, showing your passion for AI beyond your job can set you apart from other candidates.
