Python, LLM, GenAI/Senior Consultant Specialist

hsbc

Pune NM Years Exp Posted 1h ago

Build LLM application services in Python, covering prompt strategies, tool/function calling, and workflow orchestration (e.g., LangChain/LangGraph).
Design and implement RAG, including document/artefact ingestion (metric definitions, dimensional models, lineage, report examples).
Implement RAG retrieval foundations: chunking, metadata strategy, embeddings, indexing, retrieval and re-ranking.
Define grounding approaches to minimise hallucinations and ensure Finance-approved definitions are consistently applied.
Deliver deterministic query generation aligned to the semantic layer, including constraint-driven SQL/query DSL, schema validation and guardrails.
Implement query execution patterns such as caching, robust error handling, and safe fallback behaviours.
Build and maintain API layers (REST/gRPC) for UI and platform integration, including authentication/authorisation and request auditing.
- Establish evaluation and operational practices: test harnesses (golden datasets, accuracy/retrieval metrics, regression tests, prompt/model versioning), LLMOps (CI/CD, config management, promotion, observability, incident runbooks), collaboration with data/platform teams, and compliance with security/privacy requirements.