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Sr. AI Engineer - Data Pipelines & Context Systems

50 minutes ago
India
Senior
AI Engineer
Software Development
Confluence Docker JIRA Kubernetes NetSuite Next.js Node.js OAuth OpenSearch Python React Salesforce TypeScript Vercel
Apply Now
Reltio

Reltio

Reltio offers cloud-native MDM solutions that unify and cleanse complex data from multiple sources, providing real-time insights and actions for better decision-making across industries.

IT Services
251-1K
Founded 2011
$237M raised
View All Jobs 5

Description

  • Design and implement production-grade data pipelines that ingest, normalize, enrich, and synchronize structured and unstructured enterprise data.
  • Build incremental indexing and vector update patterns that preserve lineage, permissions, and source metadata.
  • Model context boundaries across personal, team, departmental, and enterprise layers.
  • Build secure MCP/API-style tools and services that expose enterprise data and actions to LLM workflows.
  • Implement OAuth/SSO, RBAC/ABAC, tenant boundaries, and server-side permission checks.
  • Create reusable connectors and adapters for AI Business Partner workflows.
  • Design retrieval systems that combine semantic search, keyword search, metadata filters, reranking, and structured queries.
  • Define chunking, embedding, tagging, and provenance strategies for traceable responses.
  • Build testing harnesses for prompts, retrieval pipelines, tool calls, structured outputs, and agentic workflows.
  • Create evaluation datasets, observability, and regression checks for context quality, accuracy, latency, cost, and safety.
  • Build review, approval, rollback, and exception-handling workflows for high-impact AI actions and sensitive data usage.
  • Partner with AI Business Partners, Security, Product, Data, and Engineering teams to translate workflows into governed AI capabilities.

Requirements

  • 5+ years of software, backend, data platform, or AI engineering experience.
  • Strong proficiency in Python and/or TypeScript/Node.js.
  • Experience designing APIs, services, async jobs, data models, and integrations.
  • Hands-on experience with data ingestion, transformation, synchronization, and operational data pipelines.
  • Practical experience with RAG/retrieval systems, including embeddings, vector/search stores, chunking, metadata filtering, hybrid search, reranking, citations, and incremental updates.
  • Experience building with LLM tool calling, agents, structured outputs, schema validation, and MCP-style or function/API-based tool layers.
  • Strong understanding of enterprise identity, access control, and data governance, including OAuth/SSO, RBAC/ABAC, privacy, and auditability.
  • Ability to design evaluation harnesses and operational checks for retrieval quality, accuracy, latency, cost, freshness, and regression risk.
  • Strong judgment with AI-assisted development tools such as Codex, Claude Code, and Cursor.
  • Clear communication with technical and business stakeholders.
  • Familiarity with Reltio, MDM, knowledge graphs, or customer/product data domains (nice to have).
  • Experience with OpenSearch, Pinecone, pgvector, Bedrock Knowledge Bases, or similar enterprise search/vector platforms (nice to have).
  • Experience integrating with Google Workspace, Slack, Jira, Confluence, Salesforce, NetSuite, data warehouses, or similar enterprise platforms (nice to have).
  • Front-end experience with React, Next.js, Vercel, or internal admin/review tools (nice to have).
  • Experience with workflow orchestration, approval systems, event-driven architectures, queues, batch/stream processing, Docker/Kubernetes, infrastructure as code, or observability stacks (nice to have).
  • Experience in a 500-2,000 employee SaaS company or similar scale (nice to have).

Benefits

  • Flexible work arrangements in a distributed workforce model.
  • Opportunity to work on enterprise AI technology with significant scope and ownership.
  • Equal opportunity workplace with reasonable accommodation support.
  • Collaborative team culture centered on shared accountability and continuous improvement.

Interested in this position?

Apply directly on the company website

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