Python, LLM, GenAI/Senior Consultant Specialist

HSBC Holdings plc; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

HSBC Software Development India in Hyderabad, India, seeks an experienced Senior Consultant Specialist to develop and deploy LLM applications, drive RAG systems and ensure robust, secure AI workflows.

You will design embeddings, indexing, and retrieval pipelines, build REST/GRPC services with proper authentication, and lead ongoing testing, observability, and governance as part of HSBC's AI strategy.

Qualifications

• Strong Python engineering capability and clean architecture.
• Production LLM apps experience with major APIs/hosted models.
• Hands-on RAG implementation experience.
• Practical prompt engineering and tool calling.
• Experience with LangChain or LangGraph (or equivalents).
• Fundamentals: embeddings, vector search, evaluation methods.
• API engineering with FastAPI/Flask, including async patterns.
• Cloud-native delivery (GCP preferred): containers, Kubernetes, CI/CD, observability.

Responsibilities

• 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 ingestion, embeddings, indexing, and lineage.
• Implement RAG retrieval foundations: chunking, metadata strategy, embeddings, indexing, retrieval and re-ranking.
• Define grounding to minimise hallucinations and apply Finance-approved definitions.
• Deliver deterministic query generation aligned to the semantic layer, including constraint-driven SQL/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 auditing.
• Establish evaluation/operational practices: test harnesses, LLMOps, observability, incident runbooks, collaboration with data/platform teams.

Skills

Python engineering

LLM apps

Prompt engineering

Tool calling

LangChain

LangGraph

API engineering

Async programming

CI/CD

Security best practices

Tools

LangChain

LangGraph

FastAPI

Flask

Kubernetes

REST/GRPC

CI/CD tooling

Job description

Some careers shine brighter than others.

If you're looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist

In This Role, You Will

• 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.

To be successful in this role, you should meet the following requirements:

• Strong Python engineering capability, including clean architecture, testing, packaging, and performance optimisation.
• Proven experience delivering production LLM apps (or advanced PoCs) using major LLM APIs/hosted models (e.g., Claude, GPT, Gemini, open-weight models).
• Hands-on RAG implementation experience.
• Practical prompt engineering and tool/function calling to enable reliable LLM behaviours.
• Experience building agents/workflows and using orchestration frameworks like LangChain and/or LangGraph (or equivalents).
• Solid ML fundamentals: embeddings, vector search, evaluation methods, and awareness of common failure modes.
• API engineering skills (FastAPI/Flask), including async patterns and integration-focused design.
• Cloud-native delivery (GCP preferred): containers, serverless/Kubernetes, CI/CD, observability, plus secure engineering practices and LLM security mitigations (prompt injection, jailbreaks, data leakage).

You'll achieve more when you join HSBC.

www.hsbc.com/careers

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Issued by - HSBC Software Development India