Palantir Foundry at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, GenAI, Agent Orchestration, LLMs, NLP, Deep Learning, MLOps, SQL, Vector DB, Hybrid Search, Re-ranking, Evaluation, Observability, Open-Source Models, UI/UX

Industry

IT Services and IT Consulting

Description

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

Responsibilities

The AI Engineer will design, build, and productionize GenAI and agentic systems, focusing on the full lifecycle from data pipeline design to MLOps deployment. Responsibilities include building systems like chat copilots and implementing various AI techniques.