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 of £120k, dynamic work culture, and growth opportunities.
- Other info: Collaborative environment with a focus on innovation and technical excellence.
- Why this job: Join a cutting-edge team and make a real impact in AI technology.
- Qualifications: Experience in designing production-grade systems and working with AI technologies.
The predicted salary is between 120000 - 120000 € 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 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) - £120k employer: Few&Far
Join a dynamic and innovative start-up at the forefront of AI technology, where you'll be part of a highly skilled team dedicated to transforming complex workflows into autonomous systems. With a strong emphasis on collaboration and employee growth, this role offers the opportunity to work on cutting-edge projects in a supportive environment that values technical excellence and creativity. Located in a vibrant tech hub, the company provides a unique chance to make a significant impact while enjoying the benefits of a fast-paced, entrepreneurial culture.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer (Series A Start-Up) - £120k
✨Tip Number 1
Network like a pro! Reach out to people 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI systems and complex workflows. This gives you a chance to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and recent projects. Be ready to discuss how your experience aligns with their needs, especially around designing scalable AI systems and translating business problems into technical solutions.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each application, showing genuine enthusiasm for the work they do.
We think you need these skills to ace Lead AI Engineer (Series A Start-Up) - £120k
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Lead AI Engineer. Highlight your experience with complex systems and AI technologies, as this will show us you understand what we're looking for.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your achievements 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 problems in the past. We want to see your thought process and how you translate complex challenges into structured solutions.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people quickly and helps us keep track of all candidates efficiently. Plus, it’s super easy!
How to prepare for a job interview at Few&Far
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those related to autonomous systems and large-scale architecture. Be ready to discuss your previous projects and how they relate to the role, showcasing your hands-on experience with complex AI-driven systems.
✨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 business problems into technical solutions during the interview, demonstrating your ability to bridge the gap between stakeholders and engineering.
✨Prepare for Technical Challenges
Expect to face technical questions or case studies that require you to design a system on the spot. Practise breaking down complex workflows into structured designs, as this is a key part of the role. Use examples from your past experiences to illustrate your thought process.
✨Show Your Collaborative Spirit
Since the role involves working closely with cross-functional teams, be prepared to discuss how you've successfully collaborated with others in the past. Highlight your experience in guiding teams through technical challenges and how you’ve contributed to delivering projects from architecture to deployment.
