Tech Lead, LLM & Generative AI

Tech Lead – LLM & Generative AI (Hands-On)

We're building a large-scale conversational AI platform used by millions of users daily — fast, creative, and technically challenging.

We're looking for a hands-on Tech Lead who ships production code, owns the LLM architecture, and understands how models behave at scale.

What you'll do

• Build and evolve the core LLM system (Python / PyTorch)

• Optimise inference, latency & context at massive token volumes

• Own alignment strategies (SFT, RLHF/DPO) for open-ended use cases

• Lead by example while mentoring a small senior team

What we're looking for

• 8+ years of engineering experience, recent LLMs in production

• Strong Python & PyTorch

• Experience with high-traffic systems / high token throughput

• Comfortable working with uncensored or creative model alignment

Setup

• Fully remote

• High autonomy, high ownership

What you will get

• Contract Flexibility: Prefer B2B, but open to other arrangements — what matters most is long-term ownership and real impact.
• Work From Anywhere: Fully remote. Build world-class AI from wherever you do your best thinking.
• Generous Time Off: 4 weeks (20 working days) of paid time off per year — step back, reset, and come back sharp.
• Annual Team Gathering: Once a year, we meet in person to align on vision, brainstorm big ideas, and celebrate what weve shipped.
• Health & Wellbeing Support: Up to $200/year for wellbeing expenses plus unlimited 1:1 sessions with psychologists and lifestyle experts (also available for up to three family members).
• Co-Working Budget: Prefer not to work from home every day? Use a co-working space up to twice per month (35 EUR / 40 USD per visit).
• Learning & Experimentation Budget: Funds for courses, books, conferences, research, or anything that keeps you sharp in the fast-moving LLM space.
• Equipment & Setup: Company laptop provided, plus up to $250 for monitors or home-office upgrades.
• Premium AI Tooling: Full access to top-tier AI tools (LLM APIs, coding assistants, model hubs) so you can move fast and build better.





If you enjoy shipping real systems, not papers — let's talk

DM or apply with a brief overview of your recent LLM work.