At a Glance
- Tasks: Lead AI projects, optimise systems, and write production code in a hands-on role.
- Company: Fast-scaling AI business with a global remote team and engineering-led culture.
- Benefits: Up to £185K salary, £60K equity, fully remote work, and direct access to the CTO.
- Other info: No CV needed; apply with your LinkedIn profile and enjoy low bureaucracy.
- Why this job: Join a dynamic team solving complex AI challenges and make a real impact.
- Qualifications: Strong Python/PyTorch experience and knowledge of production-scale ML/LLM systems.
The predicted salary is between 185000 - 185000 £ per year.
I'm working on a unique AI role with one of the fastest-scaling AI businesses in the world right now. Up to £185,000 base + roughly £60,000 equity, fully remote globally. There is no office. Around 80 people worldwide. The company has scaled from 0 to 50 million users in around 2 years and is now processing 3 BILLION LLM tokens daily across mostly self-hosted infrastructure.
This is not an “AI wrapper” business. The engineering challenges are difficult:
- inference optimisation
- latency at scale
- RAG/memory systems
- RLHF/fine-tuning
- moderation/alignment systems
They’re looking for a very hands-on AI Tech Lead who still enjoys building systems and writing production code. Strong experience with Python/PyTorch, vLLM, Hugging Face and production-scale ML/LLM systems is essential.
The sort of person likely to fit this role:
- has shipped AI products used by millions
- understands production AI systems at scale
- values shipping quickly and pragmatically
- enjoys ownership and autonomy
Small senior AI team, direct access to the CTO, low bureaucracy and a very engineering-led culture. Most people in the business have come from very successful startups or Tier 1 companies like Palantir, Meta and Anthropic, or companies with an outstanding engineering pedigree like Deel.
This role is open to anyone across the EU, and the company will pay in your local currency. For the ease of my network, the role is advertised in pounds, but the same salary would be paid out in euros etc. £185K is roughly €215K, you get the idea.
No CV needed at this stage. Feel free to apply with your LinkedIn profile and we can cross the CV bridge later.
Lead LLM Engineer in Crawley employer: Tact
Join one of the fastest-scaling AI businesses globally, where you can thrive in a fully remote environment with a competitive salary of up to £185K plus equity. With a small, senior AI team and direct access to the CTO, you'll enjoy a culture that prioritises engineering excellence, autonomy, and rapid product delivery, all while tackling complex challenges in AI technology.
StudySmarter Expert Advice🤫
We think this is how you could land Lead LLM Engineer in Crawley
✨Tip Number 1
Make sure your LinkedIn profile is up to date and showcases your skills in Python, PyTorch, and LLM systems. Highlight any projects where you've shipped AI products used by millions; this will grab their attention!
✨Tip Number 2
Network like a pro! Reach out to connections in the AI space or those who work at companies you admire. A friendly chat can lead to referrals or insider info about the role you're eyeing.
✨Tip Number 3
Prepare for technical interviews by brushing up on inference optimisation and latency at scale. Practise coding challenges that focus on production-scale ML systems to show off your hands-on skills.
✨Tip Number 4
Don't forget to apply through our website! It’s a straightforward process, and it shows you're keen on joining the team. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead LLM Engineer in Crawley
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you've engaged with AI technologies and what excites you about the field. Share any projects or experiences that highlight your love for building innovative systems.
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We’re looking for hands-on experience with Python, PyTorch, and production-scale ML systems, so highlight those relevant experiences to catch our eye!
Be Concise and Clear:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your key achievements and skills effectively. Remember, we want to understand your journey and what makes you a great fit for the role!
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to review your application and get back to you. Plus, it shows you’re serious about joining our team at StudySmarter. We can’t wait to hear from you!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and the other technologies mentioned in the job description. Brush up on your knowledge of LLM systems and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled engineering challenges in the past, especially around inference optimisation and latency at scale. Use concrete examples to illustrate your thought process and the impact of your solutions.
✨Emphasise Your Hands-On Experience
This role is all about being hands-on, so highlight your experience in building systems and writing production code. Be ready to discuss your approach to shipping AI products quickly and pragmatically.
✨Cultural Fit Matters
Research the company culture and be prepared to discuss how your values align with theirs. They appreciate ownership and autonomy, so share examples of how you've thrived in similar environments and contributed to a low-bureaucracy setting.
