At a Glance
- Tasks: Design and build AI applications, turning ideas into real solutions for clients.
- Company: Exciting AI scale-up redefining advanced AI deployment in secure environments.
- Benefits: Competitive salary, growth opportunities, and a chance to work on impactful projects.
- Other info: Fast-paced environment with opportunities for mentorship and career advancement.
- Why this job: Join a dynamic team pushing the boundaries of applied AI in real-world scenarios.
- Qualifications: Strong software engineering skills, experience with LLMs, and solid Python knowledge.
The predicted salary is between 80000 - 100000 € per year.
I’m working with a seriously exciting AI scale‑up that’s redefining how advanced AI is deployed in secure, high‑stakes environments. They’ve already proven strong product‑market fit (Series A) and are now scaling rapidly toward Series B - with significant investment going into both product and people. Their platform is enabling organisations to run powerful AI systems in environments where others simply can’t operate - think highly regulated, data‑sensitive, or even fully offline settings. This is not theory or experimentation - it’s real‑world, mission‑critical AI.
This is a hands‑on, high‑impact engineering role where you’ll be building and deploying AI solutions directly with clients. You’ll go from idea → prototype → production at speed, solving complex problems along the way.
What you’ll be doing:
- Designing and building AI‑powered applications using cutting‑edge LLM frameworks
- Developing APIs, integrations, and scalable backend systems (Python‑focused)
- Creating intelligent workflows, agents, and retrieval‑based systems (RAG, etc.)
- Working directly with clients to turn challenges into working solutions — fast
- Leading technical discussions and influencing how solutions are shaped
- Mentoring others and contributing to a high‑performing engineering culture
What they’re looking for:
- Strong software engineering background with production experience
- Hands‑on work with LLMs (prompting, APIs, agents, evaluation)
- Solid Python skills and experience building APIs (FastAPI or similar)
- Confident communicator — able to bridge technical and non‑technical worlds
- Experience working with clients or end users in a delivery‑focused role
- Someone who thrives in fast‑paced, build‑first environments
Nice to have:
- Experience with RAG, vector databases, or knowledge graphs
- Familiarity with open‑source models or local deployment
- Cloud and containerisation experience
- Interest in building secure systems for complex or regulated environments
Why it’s worth a conversation:
- Real‑world, high‑impact AI use cases (not just internal tools or POCs)
- Work alongside a sharp, ambitious team pushing the boundaries of applied AI
Lead Applied AI Engineer in Belfast employer: Few&Far
Join a pioneering AI scale-up that is at the forefront of deploying advanced AI in secure and high-stakes environments. With a strong focus on employee growth and a collaborative work culture, this company offers hands-on opportunities to work on real-world AI applications while being part of a rapidly scaling team. Enjoy the benefits of significant investment in both product and people, as well as the chance to influence cutting-edge solutions in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Applied AI Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at companies you're interested in. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs or Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical discussions! Brush up on your knowledge of APIs, integrations, and intelligent workflows. Being able to confidently discuss these topics will show that you're ready to hit the ground running in a fast-paced environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about real-world AI applications. Your next big opportunity could be just a click away!
We think you need these skills to ace Lead Applied AI Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead Applied AI Engineer role. Highlight your hands-on experience with LLMs, Python, and any client-facing work you've done. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're excited about this role and how your background makes you a perfect fit. Don’t forget to mention your passion for building real-world AI solutions in high-stakes environments.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing practical examples of your work with AI applications, APIs, or any innovative solutions you've developed. It helps us understand your hands-on capabilities!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our exciting journey in redefining AI deployment!
How to prepare for a job interview at Few&Far
✨Know Your AI Stuff
Make sure you brush up on the latest in AI, especially around LLMs and how they work in real-world applications. Be ready to discuss your hands-on experience with these technologies and how you've tackled complex problems in the past.
✨Showcase Your Python Skills
Since this role is Python-focused, be prepared to talk about your experience with building APIs and backend systems. Maybe even bring a project or two to discuss that highlights your coding prowess and problem-solving abilities.
✨Communicate Like a Pro
This position requires bridging the gap between technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and think of examples where you've successfully communicated with clients or end users.
✨Embrace the Fast-Paced Environment
They’re looking for someone who thrives in a build-first culture. Share experiences where you’ve had to adapt quickly, iterate on solutions, and deliver results under pressure. Show them you can keep up with their rapid scaling!
