Technical Lead

About the role

Demonstrated, evidenced delivery of AI-enabled tools or ways of working that produced a measurable efficiency gain — candidates must be able to walk through at least one such initiative end to end: the problem, what was built or changed, who adopted it, and the benefit realised. This is the primary screening criterion and outweighs total years of experience.

What you'll do

• Solid software engineering foundation with strong hands-on Python — able to build, ship and maintain a real internal application, not only notebooks or prototypes
• Hands-on experience building LLM-based applications: API integration, prompt design and iteration, retrieval-augmented generation, embeddings and vector/semantic search
• Awareness of AI risk and governance in an enterprise setting: data privacy and confidentiality, hallucination and output-verification risk, human oversight

What you need

• Python
• Git
• SQL
• REST APIs
• Agile
• LLMs
• Any graduate

Good to have

• Data modelling
• FastAPI
• Data privacy
• JIRA
• Prototyping