At a Glance
- Tasks: Lead AI projects, optimise systems, and write production code in a dynamic environment.
- Company: Fast-scaling AI business with a global remote team and engineering-led culture.
- Benefits: Up to £185K base salary, £60K equity, and fully remote work.
- Other info: Direct access to the CTO and a small, talented AI team.
- Why this job: Join a pioneering AI company making waves with millions of users and cutting-edge technology.
- Qualifications: Strong Python/PyTorch experience and a passion for building scalable AI 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 Colchester 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 strong engineering-led culture and minimal bureaucracy, you'll have direct access to the CTO and the opportunity to work alongside a talented team from top-tier companies, fostering both personal and professional growth in a dynamic and innovative setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead LLM Engineer in Colchester
✨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 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 we love seeing candidates who are eager to join our engineering-led culture. Plus, it keeps everything organised on our end!
We think you need these skills to ace Lead LLM Engineer in Colchester
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 your experience aligns with the challenges we're tackling, like inference optimisation and RLHF. Make it personal and relatable!
Highlight Relevant Experience:Focus on your hands-on experience with Python, PyTorch, and production-scale ML systems. We’re looking for someone who has shipped AI products used by millions, so don’t be shy about showcasing your achievements in this area!
Keep It Concise and Clear:We appreciate clarity! Keep your application straightforward and to the point. Avoid jargon unless it’s relevant to the role. Remember, we want to understand your skills and experiences without wading through fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the easiest way for us to keep track of your application. Plus, it shows you’re serious about joining our team. 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 complex engineering challenges you've faced, especially around inference optimisation and latency at scale. Use examples that highlight your hands-on experience and how you tackled these issues effectively.
✨Emphasise Ownership and Autonomy
This role values quick shipping and ownership. Be ready to share instances where you took charge of a project or feature, demonstrating your ability to work independently while still being a team player.
✨Cultural Fit is Key
Research the company culture and be prepared to discuss how your background aligns with their engineering-led approach. Highlight experiences from previous roles in startups or high-calibre companies that showcase your adaptability and collaborative spirit.
