At a Glance
- Tasks: Build AI-powered features that simplify complex problems for users and teams.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Embrace a dynamic role with room for experimentation and career advancement.
- Why this job: Make a real impact by creating intuitive AI experiences in a collaborative environment.
- Qualifications: 5+ years in software engineering with strong product instincts and AI knowledge.
The predicted salary is between 70000 - 90000 € per year.
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.
- 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
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.
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.
- 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
API Documentation: For engineers, API design and structure are an important part of evaluating a role.
Tech Stack:
- Backend: Node.js, Go
- Frontend: React, TypeScript
- Infrastructure: GCP, k8s, Terraform, Postgres
Senior/Staff Software Engineer (Artificial Intelligence) in London employer: Deepstreamtech
Fonoa is an exceptional employer for Senior/Staff Software Engineers, particularly those passionate about artificial intelligence and its practical applications. With a strong emphasis on collaboration and innovation, employees are encouraged to take ownership of their projects while enjoying a supportive work culture that values diversity and inclusion. Located in a dynamic environment, Fonoa offers ample opportunities for professional growth and the chance to work on cutting-edge AI technologies that directly impact customer experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Staff Software Engineer (Artificial Intelligence) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and software engineering. We want to see what you can do, so make it easy for us to find your best work!
✨Tip Number 3
Prepare for the interview by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using platforms that simulate real interview scenarios. It’ll boost your confidence and help you shine!
✨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, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Senior/Staff Software Engineer (Artificial Intelligence) in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building practical AI systems that deliver real value. Share any relevant projects or experiences that highlight your passion and understanding of AI.
Highlight Your Problem-Solving Skills:Make sure to showcase your ability to own problems end-to-end. We love engineers who can shape problems and drive solutions independently. Use specific examples from your past work where you tackled complex challenges and delivered impactful results.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the requirements in our job description. Mention your experience with LLMs, prompt engineering, and any relevant tech stack knowledge. This shows us you’ve done your homework and are genuinely interested in the role.
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 it gets into the right hands. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, prompt engineering, and RAG architectures. Be ready to discuss how you've applied these concepts in past projects, as this will show your deep understanding and ability to drive solutions independently.
✨Showcase Your Product Instincts
Prepare examples that highlight your strong product instincts and how you've balanced speed, quality, and pragmatism in previous roles. Think about specific customer-facing features you've delivered and the impact they had—this will demonstrate your ability to own problems end-to-end.
✨Embrace Ambiguity
Since this role involves operating in fast-moving and ambiguous environments, be ready to share experiences where you've thrived under uncertainty. Discuss how you approached problem-solving and experimentation, and how you helped define solutions in evolving tech landscapes.
✨Collaborate Like a Pro
This position requires close collaboration with product and design teams. Prepare to talk about how you've worked with cross-functional teams in the past, focusing on how you prototyped, iterated, and scaled new capabilities. Highlight your communication skills and teamwork approach.
