Palantir Foundry

Role Overview: You are being hired as 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). Your responsibilities will include developing the full lifecycle data/feature/RAG pipeline design, model selection/finetuning, safety/guards, evaluation/observability, and MLOps deployment. Key Responsibilities: - Build GenAI/agentic systems such as chat copilots, workflow/graph agents, tool use, and memory - Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/evaluation - Select, integrate, and finetune LLMs & multimodal models - Apply prompt-engineering techniques to specific use cases and types - 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: - Bachelors/Masters Degree or equivalent - 5+ years in ML engineering, around 1+ years of hands-on experience 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 - 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 - Experience working on hybrid search and re-rankers - 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 - Experience with Open-Source Models - Experience on UI/UX will be an added advantage *Note: No additional details about the company were mentioned in the job description*,