Senior Generative AI Engineer

Responsibilities:

• Own production AI systems end-to-end: design, build, deploy, and monitor LLM-powered document analysis pipelines.
• Define evaluation and governance frameworks: build golden test sets, automated eval pipelines, and regression suites.
• Optimise cost and performance: manage token budgets, implement caching and batching strategies.

Qualifications:

• At least 3 years of professional experience building and deploying AI systems, with 1-2 years focused on LLM/GenAI in production.
• Deep experience with document-heavy NLP: extraction from complex layouts, entity recognition, and structured output generation.
• Strong Python engineering skills and familiarity with LLM orchestration frameworks and vector databases.

What We Need You To Have:

• Proven ability to design and optimise RAG pipelines and prompt architectures for accuracy, cost, and latency.
• Experience with cloud platforms (AWS or Azure) for deploying and monitoring LLM-backed services.
• Experience designing systematic evaluation methodologies for generative AI (automated evals, golden test sets, faithfulness/hallucination metrics).