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 real-world impact.
- 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 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 involvesYou will contribute 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
- 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
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) 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. Located in a vibrant tech hub, we provide a stimulating environment where your contributions directly impact the success of our AI-driven solutions, making this an exciting place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer (Series A Start-Up)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in AI or at the company you're eyeing. A friendly chat can open doors and give you insider info that could make all the difference.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source AI systems, make sure to highlight them. Real-world examples of your work can speak volumes about your capabilities.
✨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 systems. We want to see how you think and tackle complex problems!
✨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 our exciting projects.
We think you need these skills to ace Lead AI Engineer (Series A Start-Up)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your experience with complex systems, AI applications, and any relevant projects that showcase your ability to translate business problems into technical solutions.
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. Share specific examples of your work that demonstrate your hands-on engineering skills and your ability to collaborate with stakeholders.
Showcase Your Problem-Solving Skills:In your application, emphasise your experience in breaking down complex workflows and designing scalable systems. We want to see how you've tackled ambiguous requirements in the past and turned them into structured, executable plans.
Apply Through Our Website:We encourage you 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 shows us you’re keen on joining our fast-moving AI systems team!
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-scale systems and machine learning. Be ready to discuss your past experiences with AI systems and how you've tackled complex workflows.
✨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, showing that you can think from both a technical and business perspective.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice explaining your thought process when designing scalable AI systems and be ready to break down complex designs into clear execution plans. This will demonstrate your hands-on engineering skills.
✨Show Your Collaborative Spirit
Since this role involves working closely with enterprise stakeholders and cross-functional teams, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight your ability to adapt to evolving requirements and guide teams through technical challenges.
