Python, LLM, GenAI/Senior Consultant Specialist
HSBC Holdings plc (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 35–55 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and deploy Python-based large language model (LLM) application services including prompt engineering, tool/function calling, and workflow orchestration using frameworks like LangChain or LangGraph.
- Design and implement Retrieval-Augmented Generation (RAG) systems covering document ingestion, retrieval, embedding, indexing, and re-ranking to support finance-approved definitions and reduce hallucinations.
- Build API layers (REST/gRPC) with authentication, auditing, and operational best practices including testing, CI/CD, monitoring, incident management, and compliance with security/privacy standards.
Minimum Requirements
- Strong Python engineering skills including clean architecture, testing, packaging, and performance optimization.
- Experience delivering production LLM applications or advanced proofs-of-concept using major LLM APIs/models such as Claude, GPT, Gemini or open-weight models.
- Hands-on experience with RAG implementation, prompt engineering, and use of orchestration frameworks like LangChain or LangGraph.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Proficient in cloud-native delivery particularly on GCP including containers, serverless/Kubernetes, CI/CD pipelines, and observability.
- Experienced in secure engineering practices focused on LLM security mitigations like prompt injection, jailbreaks, and data leakage prevention.
- Skilled in building scalable AI-powered services with integration focus via APIs and asynchronous design patterns for robust production environments.