Palantir Foundry

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

Required Skills

#GenAINTT

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RESUME SELECTION Guidelines :

#GenAINTT

Skills Required

Cv, Gcp, Sql Query, Aws, Python, Azure, ui ux , Nlp