Posted on: 26/09/2026
Roles & Responsibilities:
- Design, build, and maintain AI/ML-powered applications in Python.
- Develop LLM-based features such as document understanding, summarisation, extraction, and conversational assistants for insurance workflows.
- Build and improve Retrieval-Augmented Generation (RAG) pipelines, including data ingestion, chunking, embeddings, vector search, and prompt design.
- Deploy, monitor, and scale models and AI services on AWS.
- Build and integrate REST APIs that expose AI capabilities to products and client systems.
- Evaluate model and LLM outputs for accuracy, relevance, latency, and cost, and improve them over time.
- Work with relational, NoSQL, and vector databases.
- Read existing code and make improvements independently with light guidance.
- Debug and fix issues across the application and AI stack.
- Follow good practices for version control, testing, and documentation.
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