RAG Engineer

Sumeru Global Technologies Private Limited
Jersey City, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 200K

Job location

Jersey City, United States of America

Tech stack

Java
.NET
API
Artificial Intelligence
Audit Trail
Azure
Cloud Storage
Encodings
Databases
Continuous Integration
Information Engineering
Data Governance
Data Security
Elasticsearch
Graph Database
Python
Node.js
Parsing
Role-Based Access Control
Standard Sql
Search Technologies
Management of Software Versions
Indexer
Backend
Search Engines

Job description

· Build document ingestion, parsing, chunking, metadata extraction, embedding, indexing, and versioning pipelines.

· Implement RAG services using vector search, keyword search, hybrid retrieval, metadata filters, reranking, and citations.

· Integrate with Azure AI Search, pgvector, Pinecone, Weaviate, Qdrant, Milvus, Elasticsearch, OpenSearch, or similar platforms.

· Build APIs for retrieval, source traceability, ingestion status, feedback capture, and citation support. Implement permission-aware retrieval, RBAC, tenant isolation, audit logging, PII handling, and secure data access.

· Support retrieval quality evaluation, grounding, hallucination reduction, client demos, UAT, and production readiness.

Requirements

Do you have experience in Search engines?, · Strong backend/data engineering using Python, Java, Node.js, or .NET. Strong SQL and database experience.

· Minimum 2 years hands-on AI/RAG implementation experience.

· Experience with embeddings, vector search, hybrid search, document ingestion, and RAG pipelines. Experience with Azure AI Search, pgvector, Pinecone, Weaviate, Qdrant, Milvus, Elasticsearch, OpenSearch, or equivalent.

· Understanding of chunking, retrieval tuning, reranking, context assembly, citations, and retrieval evaluation. BFSI, banking, insurance, capital markets, payments, or regulated enterprise experience. Client implementation experience.

· Preferred Skills

· Azure Blob Storage, Azure AI Search, Azure Document Intelligence, Azure OpenAI, or similar Azure services.

· Experience with data governance, document lineage, metadata models, knowledge graphs, or ontology-driven retrieval.

· Experience with CI/CD, containers, observability, and secure cloud deployment

Benefits & conditions

Pulled from the full job description

  • Parental leave
  • Retirement plan
  • 401(k) matching
  • Paid time off
  • Dental insurance
  • Life insurance
  • Employee assistance program, * 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Life insurance
  • Paid time off
  • Parental leave
  • Retirement plan

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