Palantir Foundry

1 week ago

Bengaluru, Karnataka, India NTT DATA Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Location: | Experience: 5+ years

Role Overview

We're hiring an 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 develop the full lifecycle-data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment.

Key Responsibilities

  • 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 good understanding of DevOps
  • Should have good understanding of LLM evaluation
  • Should have deployed min of 2 models in production (MLOps)
  • Should have understanding of guardrails, policy filters, PII redaction, runtime monitors and agent observability.
  • Unit testing of GenAI Solutions built and documentation of results.
  • 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.

Qualifications

  • Bachelor's/Master's Degree or equivalent.
  • 5+ years in ML engineering, around 1+ years of hands-on with LLMs/GenAI and agentic frameworks.
  • Experience in shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
  • Experience delivering end-to-end GenAI based solutions.

Required Skills

  • Strong Python experience to build multiple AI-ML/ GenAI Solutions.
  • Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
  • Strong experience working on SQL Query, Vector DB like Pinecone, Qdrant, Fiaas
  • Should have experience working on hybrid search and re-rankers
  • Should have experience on evaluation & observability LangSmith/ human-in-the-loop workflows.
  • Strong experience in using any one of the leading Hyperscaler services from Azure/AWS/GCP
  • Experience working on NLP, CV, Deep Learning Algorithms
  • Should have working experience with Open-Source Models
  • Experience on UI/UX will be added advantage.
GenAINTT

________________________________________

RESUME SELECTION Guidelines:

  • Delivered at least 2 GenAI/Agentic AI solutions for clients
  • Extensive experience of minimum 5+ years on Python
  • Delivered 3-5 successful client POCs/MVPs
GenAINTT

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