Manager, Engineering - Ai

Reltio

Bangalore, India
On-site
Ai engineering management
Llm-based agentic workflows
Rag pipelines
Lead R&D on LLM-based agentic workflows, data intelligence, and AI-first products, guiding a team of Data Scientists, ML Engineers, UI/Integration Engineers, and Quality Engineers

Job Summary

  • Lead R&D on LLM-based agentic workflows, data intelligence, and AI-first products, guiding a team of Data Scientists, ML Engineers, UI/Integration Engineers, and Quality Engineers.
  • Own agentic AI systems that plan, reason, use tools/APIs, maintain memory/context, self-correct, and execute multi-step workflows autonomously.
  • Reltio offers comprehensive benefits including medical insurance, generous leave policies (36 annual leaves, 26 weeks maternity, 15 days paternity), and home office setup allowance.

Matching Summary

Lead R&D on LLM-based agentic workflows, data intelligence, and AI-first products, guiding a team of Data Scientists, ML Engineers, UI/Integration Engineers, and Quality Engineers.

Skills & Requirements

Must-have

  • AI Engineering Management
  • LLM-based agentic workflows
  • RAG pipelines
  • foundation model pipelines
  • production ML code in Python
  • cloud deployments (AWS Bedrock, SageMaker, Azure AI Studio)

Nice-to-have

  • data governance
  • MLOps and LLM observability
  • enterprise-scale SaaS
  • Kubernetes, containerized deployment

Key Requirements

  • Proven track record leading AI/ML teams
  • Deep hands-on experience building agentic AI workflows
  • Expertise in LLMs, RAG, foundation models, vector search
  • Strong product intuition
  • Ownership of production ML code in Python
  • Experience with graph memory, MCP protocol

Work Rights

Not specified

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