At a Glance
- Tasks: Lead AI projects and tackle complex engineering challenges in a fully remote environment.
- Company: Fast-scaling AI business with a dynamic, 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, senior AI team with low bureaucracy.
- Why this job: Join a team processing 3 billion LLM tokens daily and make a real impact.
- Qualifications: Strong Python/PyTorch experience and a passion for building production-scale 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 Basingstoke 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 Basingstoke
✨Tip Number 1
Make sure your LinkedIn profile is top-notch! Highlight your experience with Python, PyTorch, and any AI products you've shipped. This is your chance to showcase your skills without a CV, so let’s make it shine!
✨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 open doors, and who knows, they might even refer you directly to the hiring team!
✨Tip Number 3
Prepare for the interview by brushing up on the engineering challenges mentioned in the job description. Think about how you would tackle inference optimisation or latency at scale. We want you to impress them with your hands-on knowledge!
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we’re here to support you every step of the way, so let’s get you that dream role!
We think you need these skills to ace Lead LLM Engineer in Basingstoke
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 fit the Lead LLM Engineer role. Highlight your experience with Python, PyTorch, and any relevant production-scale ML/LLM systems. We appreciate when candidates take the time to align their skills with what we're looking for!
Be Authentic:We value authenticity, so don’t be afraid to let your personality come through in your application. Share your unique journey in the AI space and what makes you a great fit for our engineering-led culture. We’re looking for genuine passion and ownership!
Apply Through Our Website:Remember, the best way to apply is through our website! It’s super easy to submit your LinkedIn profile, and we’ll take it from there. This helps us keep everything organised and ensures your application gets the attention it deserves.
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and Hugging Face. Brush up on your knowledge of production-scale ML/LLM systems and be ready to discuss your hands-on experience with them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific engineering challenges you've faced, especially around inference optimisation and latency at scale. Use examples from your past work to demonstrate how you tackled these issues and what impact your solutions had.
✨Emphasise Ownership and Autonomy
This role values quick shipping and ownership, so be ready to share instances where you took charge of a project or feature. Highlight how you enjoy working independently and making decisions that drive results.
✨Cultural Fit is Key
Research the company culture and be prepared to discuss how your background aligns with their engineering-led environment. Mention any experiences from startups or high-performing teams that showcase your adaptability and collaborative spirit.
