Palantir Foundry

2 weeks ago

Bengaluru Karnataka, India NTT DATA Full time

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.
- 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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