# Python, LLM, GenAI/Senior Consultant Specialist

**Company**: GCIO
**Location**: Pune, Maharashtra, India · Hyderabad, Telangana, India, Telangana
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612097430?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/python-llm-genai-senior-consultant-specialist-89dfb267-6ad/

## Description

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).

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## Skills

### Required
- Python
- LLM
- GenAI
- LangChain
- LangGraph
- RAG
- ML
- FastAPI
- Flask
- GCP
- Kubernetes
- CI/CD

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612097430?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)