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 base 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 experience in Python, PyTorch, and production-scale ML/LLM systems required.
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.
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 Worcester 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 Worcester
✨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 field 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 Worcester
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 engaging!
Highlight Relevant Experience:Be sure to showcase 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 hold back on those achievements!
Keep It Concise and Clear:While we love a good story, keep your application focused and to the point. Highlight your key skills and experiences that relate directly to the role. Remember, clarity is key, and we appreciate brevity!
Apply Through Our Website:We encourage you to apply through our website using your LinkedIn profile. It’s super easy and helps us streamline the process. Plus, it shows you’re keen to join our team at StudySmarter!
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 the engineering challenges you've faced, especially around inference optimisation and latency at scale. Use concrete examples to demonstrate how you tackled these issues and what the outcomes were.
✨Emphasise Your Hands-On Experience
This role is all about being hands-on, so highlight your experience in building systems and writing production code. Share stories that illustrate your ownership and autonomy in previous roles, as this aligns with the company culture.
✨Cultural Fit Matters
Research the company’s values and culture, especially their engineering-led approach. Be prepared to discuss how your background from startups or Tier 1 companies aligns with their team dynamics and how you can contribute to their rapid growth.
