AI Architect & Developer

Contract Length

6 months (potential for extension)

What you'll do

• Build and ship end-to-end AI/ML features, from data ingestion and training to deployment, MLOps workflows, CI/CD, and model versioning
• Develop LLM/GenAI solutions: prompt engineering, RAG pipelines, embeddings, vector search, and inference optimisation (LoRA/PEFT, quantisation, GPU/TPU)
• Own observability across data, models, and prompts; run A/B tests, drive evaluation, and embed Responsible AI practices throughout

What you'll need

• Hands‑on LLM/GenAI experience (Gemini or open source) including fine-tuning, RAG pipelines, prompt engineering, and graph-based workflows (ADK, MCP)
• Strong Python, API/microservices development, GCP (Vertex AI, BigQuery), CI/CD, and containerisation (Docker, Kubernetes)

Nice to have

ML frameworks (PyTorch, TensorFlow, Hugging Face), ...