AI Lead Developer

Job Description :

Responsibilities :

- Frame ambiguous, complex business problems into mathematically well-defined AI problems.

- Design data strategies aligned to the problem structure and drive full lifecycle ownership.

- Translate research papers into reliable, high-performance production systems.

- Reproduce results, simplify architectures, and scale models for real-world constraints (latency, cost, throughput).

- Build and fine-tune LLMs; design RAG pipelines grounded in embedding geometry, retrieval statistics, and transformer internals.

- Own model selection using quantitative trade-offs, not guesswork.

- Lead data pipelines, training, evaluation, deployment, monitoring, and continuous improvement.

- Build scalable APIs and services that expose AI capabilities safely and reliably.

- Optimise models and systems for distributed training, inference efficiency, numerical stability, and high-throughput production workloads.

- Mentor engineers on math-driven problem-solving, ML systems design, experiment rigour, and best practices.

Requirements :

- 8-12 years leading AI initiatives with strong foundations in maths (probability, statistics, optimisation, linear algebra).

- Proven ability to solve complex AI/ML problems across NLP, computer vision, and GenAI.

- Deep LLM production experience: fine-tuning, RAG, embedding systems, model evaluation, and at least two LLM products shipped.

- 6+ years building and operating large-scale AI systems (distributed training, real-time inference, monitoring, drift detection).