Sr. AI Engineer - Data Pipelines & Context Systems

Reltio
Bengaluru
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Communication","Judgment","Collaboration"]

Build governed data pipelines and context systems for an Enterprise AI Hub that powers the “Reltio Brain.” You’ll ingest and synchronize structured and unstructured enterprise data, maintain lineage and access controls, and implement retrieval (RAG) with reliable source provenance. The role also includes creating secure MCP/API-style tools for LLM workflows, plus evaluation harnesses and human-in-the-loop operations to ensure accuracy, safety, freshness, and operational reliability.

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FursaFursa
Reltio
Reltio
3 weeks ago

Sr. AI Engineer - Data Pipelines & Context Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build governed data pipelines and context systems for an Enterprise AI Hub that powers the “Reltio Brain.” You’ll ingest and synchronize structured and unstructured enterprise data, maintain lineage and access controls, and implement retrieval (RAG) with reliable source provenance. The role also includes creating secure MCP/API-style tools for LLM workflows, plus evaluation harnesses and human-in-the-loop operations to ensure accuracy, safety, freshness, and operational reliability.
Location: Bengaluru
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement production-grade pipelines to ingest, normalize, enrich, and synchronize structured and unstructured enterprise data from multiple source systems.
  • •Define context organization and access boundaries across personal, team, departmental, and enterprise layers while preserving lineage and permissions.
  • •Build secure MCP/API-style tools and services for LLM workflows with clear schemas, guardrails, OAuth/SSO, RBAC/ABAC, tenant boundaries, and server-side permission checks.
  • •Develop retrieval and indexing systems (RAG) with semantic/keyword/hybrid search, metadata filters, reranking, chunking/embedding/provenance strategies, and monitoring for freshness and quality.
  • •Create evaluation harnesses and human-in-the-loop operations for testing prompts, tool calls, structured outputs, approvals/rollback/exception handling, and operational checks for quality, latency, cost, and safety.

Key Requirements

  • •5+ years of software, backend, data platform, or AI engineering experience building production data systems, internal platforms, or AI-enabled systems.
  • •Strong proficiency in Python and/or TypeScript/Node.js with experience designing APIs, services, async jobs, data models, and integrations.
  • •Hands-on experience building data ingestion, transformation, synchronization, and operational data pipelines across multiple source systems.
  • •Practical experience with RAG/retrieval systems including embeddings, vector/search stores, chunking, metadata filtering, hybrid search, reranking, citations/source provenance, and incremental updates.
  • •Experience with LLM tool calling/agents, structured outputs, schema validation, and MCP-style/function/API tool layers, plus enterprise identity and access control (OAuth/SSO, RBAC/ABAC).
Experience:5+ years
Skills:CommunicationJudgmentCollaboration
Languages:En
Tech Stack:PythonTypeScriptNode.jsAPIsOAuth/SSORBAC/ABACMCPLLM tool callingAgentsStructured outputsSchema validationRAGSemantic searchKeyword searchVector/search storesHybrid searchRerankingEmbeddingsChunkingMetadata filtering

Company Brief

Reltio
Provides cloud-based master data management and data unification software that helps enterprises create trusted, real-time views of customers, products, and other core business entities across systems.
Industry: Data Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Redwood City, United States
Founded: 2011
WebsiteLinkedIn