Python, LLM, GenAI/Senior Consultant Specialist (Pune, MH, IN, 411006)

HSBC
Pune
Workplace: OnsiteFull timeFunction: Consulting & AdvisorySkills: ["Collaboration","Problem-solving"]

Build and productionize LLM application services in Python, including prompt strategies, tool/function calling, and workflow orchestration with LangChain/LangGraph. Design RAG pipelines and retrieval foundations (chunking, metadata, embeddings, indexing, re-ranking) and implement grounding and deterministic query generation with SQL/query DSL guardrails. Develop API layers, plus LLMOps and evaluation practices (CI/CD, observability, runbooks) in collaboration with data/platform teams, aligned to security and privacy requirements.

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FursaFursa
HSBC
HSBC
8 hours ago

Python, LLM, GenAI/Senior Consultant Specialist (Pune, MH, IN, 411006)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and productionize LLM application services in Python, including prompt strategies, tool/function calling, and workflow orchestration with LangChain/LangGraph. Design RAG pipelines and retrieval foundations (chunking, metadata, embeddings, indexing, re-ranking) and implement grounding and deterministic query generation with SQL/query DSL guardrails. Develop API layers, plus LLMOps and evaluation practices (CI/CD, observability, runbooks) in collaboration with data/platform teams, aligned to security and privacy requirements.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Consulting & Advisory
Seniority: Mid level

Key Responsibilities

  • •Build LLM application services in Python, including prompt strategies, tool/function calling, and workflow orchestration with LangChain/LangGraph.
  • •Design and implement RAG with document/artefact ingestion and retrieval foundations (chunking, metadata, embeddings, indexing, retrieval, and re-ranking).
  • •Define grounding approaches to minimise hallucinations and ensure Finance-approved definitions are applied consistently.
  • •Deliver deterministic query generation aligned to a semantic layer, including constraint-driven SQL/query DSL, schema validation, and guardrails; implement caching and safe fallback behaviours.
  • •Build and maintain API layers (REST/gRPC) for integrations, and establish evaluation/operational practices (test harnesses, LLMOps, CI/CD, observability, incident runbooks) aligned with compliance and security/privacy requirements.

Key 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).
Experience:LLM appsRAG
Skills:CollaborationProblem-solving
Tech Stack:PythonLLMGenAILangChainLangGraphRAGSQLAPIRESTGRPCFastAPIFlaskGCPKubernetesCI/CDEmbeddingsVector searchObservabilityPrompt injectionJailbreaks

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
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