At a Glance
- Tasks: Design and deliver complex AI-driven systems for real enterprise environments.
- Company: Fast-moving AI start-up backed by renowned venture investors.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team and shape the future of autonomous digital systems.
- Qualifications: Experience in designing production-grade systems and working with AI technologies.
The predicted salary is between 80000 - 100000 € per year.
We’re working with a fast-moving AI systems team building software that does the work, not just talks about it. Think autonomous digital systems operating inside real organisations, handling complex workflows end-to-end with minimal human involvement. The work is already deployed in production across several large global organisations, particularly in environments where reliability, governance, and structured decision-making are critical. Use cases span heavily regulated and data-intensive domains.
The company is backed by a group of well-known venture investors and experienced industry operators. The internal team is highly technical, with a strong concentration of research and engineering talent, including individuals with advanced academic backgrounds in machine learning and related fields. This is a senior, hands-on engineering role focused on designing and delivering complex AI-driven systems in real enterprise environments.
You will operate at the intersection of architecture, applied AI, and large-scale system design, working directly with enterprise stakeholders to understand how work is currently performed and how it can be restructured into automated systems. A significant part of the role involves translating ambiguous, real-world operational processes into structured technical solutions that can be reliably executed in production. You will also play a key role in guiding engineering delivery, making architectural decisions, and ensuring systems are robust enough for live enterprise usage.
What the work involves
- Contributing to building systems such as autonomous software agents that execute multi-step business and analytical workflows
- Multi-component AI systems that coordinate across tools, data sources, and internal platforms
- Decision-support infrastructure used for forecasting, planning, and operational analysis
- Systems combining large language models with retrieval, reasoning, and structured data layers
- Automation frameworks that replace or augment manual enterprise processes
Key responsibilities
- Work directly with enterprise stakeholders to understand complex operational workflows
- Translate loosely defined business problems into structured technical system designs
- Architect scalable AI systems composed of multiple interacting components
- Break down system designs into clear engineering execution plans
- Guide implementation and support engineering teams through technical challenges
- Own delivery from initial architecture through to production deployment
- Collaborate with internal product and research teams on platform development
Candidate profile
This role is suited to engineers who are comfortable working on complex systems where requirements are not fully defined and evolve through collaboration. Relevant experience may include:
- Designing and shipping production-grade distributed or backend systems
- Working with modern AI systems, including LLM-based applications
- Building architectures involving multiple services, data pipelines, or orchestration layers
- Translating ambiguous requirements into structured, executable technical designs
- Leading technical delivery within cross-functional engineering teams
Even if you don’t meet all the requirements for this role but your interest has been sparked, please submit your CV!
Lead AI Engineer (Series A Start-Up) in London employer: Few&Far
As a Lead AI Engineer at our dynamic Series A start-up, you will be part of an innovative team that is redefining the future of autonomous digital systems in enterprise environments. We foster a collaborative and inclusive work culture that prioritises employee growth, offering opportunities to engage with cutting-edge technology and complex problem-solving while working alongside industry experts. Our commitment to excellence is matched by our supportive environment, ensuring that every team member can thrive and contribute meaningfully to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer (Series A Start-Up) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or any projects that demonstrate your expertise in AI systems, make sure to highlight them during interviews. Real-world examples can really set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions that are relevant to AI engineering. We want you to feel confident and ready to tackle anything thrown your way!
✨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 exciting AI projects.
We think you need these skills to ace Lead AI Engineer (Series A Start-Up) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead AI Engineer. Highlight your experience with complex systems and AI technologies, and don’t forget to mention any hands-on projects that showcase your skills in translating business problems into technical solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about building autonomous systems and how your background aligns with our mission. Be specific about your experiences and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled ambiguous requirements in the past. We want to see how you approach complex challenges and turn them into structured solutions, so don’t hold back on those success stories!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your materials!
How to prepare for a job interview at Few&Far
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those related to large language models and distributed systems. Be ready to discuss your past experiences with these technologies and how they can be applied to real-world problems.
✨Understand the Business Context
Familiarise yourself with the specific industries the company operates in, particularly those that are heavily regulated. This will help you translate complex operational workflows into structured technical solutions during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled ambiguous requirements in previous roles. Think of examples where you successfully translated loosely defined business problems into clear, executable designs, as this is crucial for the role.
✨Engage with Stakeholders
Demonstrate your ability to work directly with enterprise stakeholders. Be ready to talk about how you've collaborated with cross-functional teams to guide technical delivery and overcome challenges in past projects.
