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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: Dynamic team environment with a focus on collaboration 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: https://docs.fonoa.com/
Tech 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 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
✨Tip Number 1
Get to know the company inside out! Research Fonoa's products, values, and recent projects. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral, which is always a bonus!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice problem-solving and be ready to discuss how you've tackled complex challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Fonoa team and ready to contribute to building amazing AI-powered experiences.
We think you need these skills to ace Senior/Staff Software Engineer, AI
Some tips for your application 🫡
Show Your Ownership: When writing your application, make sure to highlight instances where you've taken ownership of projects. We love engineers who own what they build from start to finish, so share specific examples that demonstrate this quality.
Keep It Simple: We value simplicity in our solutions, so try to break down your experiences into clear, concise points. Avoid jargon and focus on how you’ve tackled complex problems with straightforward solutions.
Think Big and Innovate: Don’t shy away from showcasing your innovative side! Talk about any AI projects or technologies you've worked with, especially if they relate to LLMs or agent-driven systems. We want to see your big ideas!
Collaborate and Communicate: Since collaboration is key for us, mention how you've worked with cross-functional teams in the past. Highlight your communication skills and how you’ve partnered with product and design to deliver impactful features.
How to prepare for a job interview at Fonoa Technologies ltd.
✨Understand the Company’s Vision
Before your interview, take some time to really grasp Fonoa's mission and how engineering plays a pivotal role in it. Familiarise yourself with their focus on solving real customer problems and how they value ownership and collaboration. This will help you align your answers with their core values.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples from your past work where you've tackled complex problems, especially in AI or software engineering. Highlight how you broke down these challenges into manageable parts and the impact your solutions had on the product and users.
✨Demonstrate Your Technical Expertise
Since the role requires a deep understanding of LLMs, prompt engineering, and AI safety practices, brush up on these topics. Be ready to discuss your experience with relevant technologies and how you've applied them in real-world scenarios. This will show that you can hit the ground running.
✨Emphasise Collaboration and Iteration
Fonoa values teamwork and continuous improvement, so share examples of how you've worked closely with product and design teams in the past. Discuss how you’ve iterated on feedback and adapted your approach to enhance product features, demonstrating your ability to thrive in a collaborative environment.