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AI Engineer Advisor

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NTT DATA

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We’re hiring a Senior AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You’ll lead development across the full lifecycle—problem framing, data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment—while mentoring junior engineers and partnering with product, design, and clients.

Job Responsibility:

  • Design & build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
  • Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval
  • Select/integrate/finetune LLMs & multimodal models
  • Apply prompt-engineering techniques to specific use cases and types
  • Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc
  • Should have clear understanding of CI/CD
  • Should have knowledge in configuring guardrails, PII redaction
  • Finetune LLM models
  • Should be able to work on solution building along with presales/customer teams
  • Collaborate with clients/Stakeholders from multiple Geographies
  • Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack

Requirements:

  • 8+ years in software/ML engineering
  • 1.5+ years hands-on with LLMs/GenAI and agentic frameworks
  • Strong Python experience
  • Experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen
  • Strong experience working on Vector DB like Pinecone, Milvus, Redis/pgvector
  • Experience on evaluation & observability
  • Experience working on SQL Query, NLP, CV, Deep Learning Algorithms
  • Bachelor’s/Master’s Degree or equivalent
  • Proven track record shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP)
  • Experience leading 3–6 engineers and owning end-to-end delivery

Nice to have:

Experience on UI/UX will be added advantage

Additional Information:

Job Posted:
May 04, 2026

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