At a Glance
- Tasks: Design and build cutting-edge AI services and backend systems.
- Company: Join a forward-thinking tech company shaping the future of AI.
- Benefits: Flexible hours, 30 days vacation, and 100% overtime compensation.
- Other info: Collaborative environment with opportunities to work on exciting projects.
- Why this job: Make a real impact on AI experiences and scalable systems.
- Qualifications: Experience in AI systems, software engineering, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
AI Systems & Service Architecture
- Design and build production-ready AI services and backend systems
- Develop APIs, orchestrations, and integrations for GenAI and LLM-based applications
- Create technical foundations that enable teams to build, scale, and operate reliably
- Contribute to RFPs, pitches, and forward-looking AI solution concepts
Reliability, Scale & Performance
- Ensure AI solutions run reliably, perform efficiently, and remain cost-effective
- Make architectural decisions around scalability, monitoring, security, and maintainability
- Optimize systems across quality, latency, operational cost, and developer experience
Technical Leadership & Collaboration
- Work closely with Creative Technologists, Product, Design, and Engineering
- Lead technical discussions and bring clarity to complex initiatives
- Support other engineers through reviews, sparring, and best practices
- Engage in client-facing conversations and explain technical concepts to senior stakeholders
What we’d love to see
- A passion for creative technology, curiosity for emerging AI tools, and the ability to turn ideas into working prototypes
- Analytical and structured mindset with the ability to make complexity simple
- End-to-end architecture from prototyping to production (including CI/CD, logging, analytics, and scaling)
- Several years of experience building production-grade AI or backend systems
- Strong experience in software engineering (Python and/or TypeScript)
- Practical knowledge of LLM frameworks, tools and protocols (LangChain, LangGraph, n8n, MCP, A2A, Bedrock, or similar) including agentic architectures
- Experience in integrating visual AI tools such as ComfyUI, Stable Diffusion, Google Imagen, or Adobe Firefly into broader workflow systems
- Proven experience integrating text-based AI APIs like ChatGPT, Claude, Gemini, or Llama into end-to-end workflow solutions
- Familiarity with prompting techniques, RAG pipelines, and AI workflow orchestration including guidance/guardrails, observability (P95, cost/request), evaluation pipelines
- Understanding of real-time communication protocols (Websocket / gRPC / PubSub event handling) and API integration across data and creative environments
- Competence in infrastructure setup (Docker, Terraform, cloud platforms like GCP, AWS, or Azure), understanding the resource cost factor and ability to optimize it
- Open-source engagement or hands-on experimentation with AI agents, visual frameworks, or orchestration systems
- Excellent English communication skills (German is a plus)
Nice to have: Experience with IBM watsonx / Watson AI or related enterprise AI ecosystems
Benefits
- Flexible working hours and 100% overtime compensation
- Work where it works for you. At home or in the office, or any mix you like
- Working for strong brands and clients we believe in
- 30 days vacation per year
- Company Benefits
- Urban Sports Club
- Nice people in welcoming teams
Your impact
You’ll shape the future of AI agent experiences and scalable AI systems that work reliably in production environments, create standards, and transform complex systems into meaningful, measurable experiences for users, brands, and products.
Senior AI Engineer in England employer: twentysix
As a Senior AI Engineer, you will thrive in a dynamic work environment that champions innovation and collaboration. With flexible working hours, generous vacation time, and a culture that values creativity and technical excellence, you'll have the opportunity to grow alongside talented professionals while making a significant impact on cutting-edge AI solutions for renowned brands. Join us to shape the future of AI in a supportive atmosphere that encourages experimentation and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives you a chance to demonstrate your expertise and passion for creative technology beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders.
✨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 AI Engineer in England
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI systems and backend architecture. We want to see how your skills align with our needs, so don’t hold back on showcasing relevant projects!
Showcase Your Passion:Let your enthusiasm for creative technology shine through! Share examples of how you've used emerging AI tools or turned ideas into prototypes. We love seeing candidates who are genuinely excited about the field.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain complex concepts, especially if you’re discussing technical details. Remember, we appreciate clarity just as much as complexity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at twentysix
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI frameworks and tools mentioned in the job description. Be ready to discuss your experience with LLMs, APIs, and any relevant projects you've worked on. This shows you're not just familiar with the tech but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex challenges in previous roles. Use specific examples that highlight your analytical mindset and ability to simplify complexity. This will demonstrate your capability to make architectural decisions and optimise systems effectively.
✨Engage in Technical Discussions
Be ready to lead or participate in technical discussions during the interview. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both technical and non-technical stakeholders. This is key for collaboration with teams like Product and Design.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's AI initiatives, team dynamics, and future projects. This not only shows your genuine interest in the role but also gives you a chance to assess if the company aligns with your career goals and values.
