Senior Consultant Specialist

HSBC
Guangzhou
Workplace: OnsiteFull timeFunction: Consulting & AdvisoryEducation: bachelorsSkills: ["Communication","Collaboration"]

Design and deliver the backend capabilities for RAG systems, including retrieval, re-ranking, context construction, prompt orchestration, and agentic search. Build pipelines for multi-modal and multi-type data ingestion, extraction/OCR, chunking, enrichment, embedding, and incremental indexing. Optimize hybrid retrieval and graph reasoning for relevance and traceability, and implement grounded, supported answer generation with auditability, security/compliance controls, and data governance. Drive evaluation and continuous improvement across cross-functional teams.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
HSBC
HSBC
13 hours ago

Senior Consultant Specialist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Design and deliver the backend capabilities for RAG systems, including retrieval, re-ranking, context construction, prompt orchestration, and agentic search. Build pipelines for multi-modal and multi-type data ingestion, extraction/OCR, chunking, enrichment, embedding, and incremental indexing. Optimize hybrid retrieval and graph reasoning for relevance and traceability, and implement grounded, supported answer generation with auditability, security/compliance controls, and data governance. Drive evaluation and continuous improvement across cross-functional teams.
Location: Guangzhou
Workplace: Onsite
Employment Type: Full time
Job Function: Consulting & Advisory
Seniority: Mid level

Key Responsibilities

  • •Design and implement core RAG backend capabilities, including retrieval, re-ranking, context construction, prompt orchestration, response aggregation, and agentic search.
  • •Build pipelines for multi-modal and multi-type data ingestion and processing (extraction/OCR, chunking, enrichment, embedding, incremental re-indexing with rollback).
  • •Optimize retrieval, ranking, and graph reasoning using hybrid retrieval, multi-stage recall, reranking, deduplication/diversity controls, and graph-based retrieval strategies.
  • •Implement grounded, supported answer generation with citations/evidence, confidence signals, refusal/insufficient-evidence handling, and traceable outputs for auditability.
  • •Ensure security & compliance and data governance (access controls, data classification/masking, audit logging, encryption/secrets management, retention/lineage/provenance), plus quality evaluation and cross-team collaboration.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical discipline.
  • •5+ years of backend engineering experience with strong proficiency in at least one backend stack: Python (FastAPI) or Go.
  • •Solid understanding of RAG components and patterns, including chunking, embeddings, hybrid search, reranking, context management, citations/attribution, and evaluation.
  • •Hands-on experience with containerisation and cloud-native engineering (Docker, Kubernetes, CI/CD) with production troubleshooting and performance tuning.
  • •Strong communication and collaboration skills to deliver under constraints spanning security, compliance, performance, and cost.
Experience:RAGAIBackend engineering
Education:Bachelor's
Skills:CommunicationCollaboration
Tech Stack:PythonFastAPIGoDockerKubernetesCI/CDBM25Vector searchOCREmbeddingsGraph RAGEntity/relation extractionGraph traversalLLMCross-encoderRBACABACEncryptionSecrets managementA/B testing

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
WebsiteLinkedIn