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For Companies At a Glance
- Tasks: Build AI-powered features that enhance user experience and simplify complex problems.
- Company: Join a forward-thinking tech company focused on real customer solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ownership and continuous improvement.
- Why this job: Make a tangible impact by innovating with cutting-edge AI technologies.
- Qualifications: 5+ years in software engineering with strong product instincts and AI knowledge.
The predicted salary is between 70000 - 90000 £ per year.
About Engineering at Fonoa
Engineering is central to how we build the business. We focus on solving real customer problems, not just shipping features. We work in small, high-trust teams, with full ownership across the lifecycle, from design to production and beyond.
We value:
- Ownership – engineers own what they build end-to-end
- Simplicity – we break down complex problems into clear solutions
- Thinking Big - we innovate with modern technologies (LLMs, AI Agents, etc.) to solve meaningful problems
- Quality – scalable, maintainable systems are non-negotiable
- Speed & iteration – we ship fast, learn, and improve continuously
- Collaboration – we win as a team, not as individuals
Position Overview
As Fonoa continues to evolve its product capabilities, we are looking for a Senior or Staff Software Engineer to help us build AI-powered experiences that feel deeply integrated into the product, not layered on top of it. This is not a role focused on experiments disconnected from production. You will work on real customer-facing systems, building intelligent workflows, natural language interfaces, and agent-driven experiences that make complex problems simpler for our users and internal teams.
You’ll work closely with engineering, product, and design to prototype, iterate, and scale new AI capabilities across the platform. This includes everything from designing backend systems that power AI workflows to shaping model behaviour, evaluation pipelines, and agent orchestration.
We are still early in this journey, which means this role requires someone who is comfortable operating in ambiguity, experimenting quickly, and helping define how AI is applied across products and workflows. We are looking for engineers who combine strong product instincts with deep technical understanding, and who are excited about building practical AI systems that deliver real value.
This is a highly collaborative, hands-on role for someone who enjoys owning problems end-to-end, moving quickly, and building systems that balance product experience, reliability, scalability, and long-term maintainability.
What You Will Do
- Build AI-powered product features that feel native, fast, and intuitive to use
- Partner closely with product and design to prototype and iterate on intelligent workflows and user interactions
- Design backend services powering natural language interfaces, smart suggestions, and agentic systems
- Optimize prompts, shape model behaviour, and improve evaluation pipelines
- Build and evolve internal and external agent platforms
- Enable both technical and non-technical teams to leverage AI more effectively
- Continuously experiment, iterate, and improve AI systems in production
What We’re Looking For
- 5+ years building customer-facing products at a high-quality software company
- Strong track record of delivering complex, end-to-end product features with visible impact
- Ability to shape problems and drive solutions independently with high ownership
- Deep understanding of LLMs, prompt engineering, agent frameworks, and AI safety/security practices
- Experience with RAG architectures and model evaluation
- Strong product and engineering instincts, with the ability to balance speed, quality, and pragmatism
- Comfortable operating in fast-moving, ambiguous environments
- Proven ability to experiment and deliver in an evolving technology landscape
API Documentation
For engineers, API design and structure are an important part of evaluating a role. You can explore our API and how we build products here: Stack
We use these technologies today, but we don’t hire for specific tools. We care about engineers who can understand problems, make good technical decisions, and choose the right tools for the job.
Backend: Node.js, Go
Frontend: React, TypeScript
Infrastructure: GCP, k8s, Terraform, Postgres
Note: If you don’t think you have the full experience we’re looking for, but you could be a fit and are willing to learn, do apply anyway! We are building a diverse and inclusive team.
Senior/Staff Software Engineer, AI in London employer: Fonoa Technologies ltd.
Contact Detail:
Fonoa Technologies ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Staff Software Engineer, AI in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Fonoa on LinkedIn or other platforms. Ask them about their experiences and share your passion for AI and software engineering. This can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI and customer-facing products. Make sure to highlight how you tackled complex problems and delivered impactful solutions. This will help us see your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of LLMs and prompt engineering. Be ready to discuss how you've applied these in real-world scenarios. We love candidates who can think big and innovate with modern technologies!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to building AI-powered experiences.
We think you need these skills to ace Senior/Staff Software Engineer, AI in London
Some tips for your application 🫡
Show Your Ownership: When writing your application, highlight instances where you've taken full ownership of projects. We love engineers who can drive solutions independently and showcase their impact on customer-facing products.
Keep It Simple: Break down your experiences into clear, concise points. We value simplicity, so make sure to communicate your skills and achievements in a straightforward manner that’s easy for us to digest.
Think Big and Innovate: Don’t shy away from sharing your big ideas! If you’ve worked with AI or LLMs, let us know how you’ve innovated in those areas. We’re looking for engineers who can think outside the box and apply modern technologies to solve real problems.
Collaborate and Connect: Emphasise your collaborative experiences in your application. We win as a team, so mentioning how you’ve partnered with product and design teams will show us you’re a great fit for our culture. And remember, apply through our website!
How to prepare for a job interview at Fonoa Technologies ltd.
✨Understand the Company’s Values
Before your interview, take some time to really understand Fonoa's core values like ownership, simplicity, and collaboration. Think about how your past experiences align with these values and be ready to share specific examples that demonstrate your fit.
✨Showcase Your Problem-Solving Skills
Since the role focuses on solving real customer problems, prepare to discuss complex challenges you've tackled in previous roles. Highlight your thought process, the solutions you implemented, and the impact they had on the product or team.
✨Familiarise Yourself with AI Technologies
Given the emphasis on AI-powered features, brush up on your knowledge of LLMs, prompt engineering, and agent frameworks. Be prepared to discuss how you've applied these technologies in your work and how you can leverage them at Fonoa.
✨Prepare for Collaboration Questions
Collaboration is key at Fonoa, so think about times when you've worked closely with product and design teams. Be ready to share how you contributed to a project, navigated differing opinions, and ultimately achieved a successful outcome together.