Tech Lead – LLM & Generative AI

We’re partnering with a high-growth technology business building advanced conversational AI products used by a global user base.

They are now looking to hire a Tech Lead – LLM & Generative AI to take ownership of their model ecosystem — leading a small team while remaining hands-on in the design, development, and deployment of large-scale AI systems.

This is a unique opportunity to work on production-grade AI at scale
, where your work directly impacts live user experiences.

As Tech Lead, you will combine technical leadership with hands‑on engineering
, shaping how models are built, optimised, and deployed in a high-performance environment.

You’ll play a key role in defining architecture, improving model behaviour, and ensuring systems operate efficiently and responsibly at scale.

• Lead and mentor a small team of engineers while remaining actively involved in coding (Python/PyTorch)
• Design and optimise systems for real‑time conversational AI
  , including context management, retrieval, and latency
• Own the end‑to‑end model lifecycle
  , including fine‑tuning, evaluation, and deployment strategies
• Define when to leverage prompting, fine‑tuning, or architectural changes to improve performance
• Oversee data pipelines including dataset sourcing, labelling, and quality control
• Build and refine content moderation and classification systems
  , enabling safe and controlled outputs in complex environments
• Monitor model performance and continuously improve quality, scalability, and reliability

• 8+ years’ experience in software engineering, with a strong focus on machine learning / LLMs
• Proven track record of building and deploying AI/ML systems in production environments at scale
• Strong hands‑on experience with Python and Py Torch
• Familiarity with modern LLM tooling and frameworks (e.g. Hugging Face, inference optimisation tools, evaluation frameworks)
• Experience working on products with large, active user bases
• Strong understanding of model behaviour, optimisation techniques, and alignment challenges
• Ability to balance technical excellence with delivery speed
• Comfortable taking ownership and operating in a high‑autonomy environment
• Experience working with conversational AI or real‑time systems
• Exposure to retrieval‑augmented generation (RAG) architectures
• Background working in fast‑paced, product‑led environments
• Fully remote, distributed team
• High level of autonomy and ownership
• Fast‑paced, product‑focused culture
• Direct collaboration with senior technical leadership

• Competitive compensation
• Remote‑first working environment
• Generous paid time off
• Learning and development support
• Wellbeing and health benefits
• Access to leading AI tools and technologies