AI Data Scientist

Do you have experience in Systems integration?, * End-to-End Agentic RAG System Design - Proven experience designing and deploying production-grade RAG systems, including embeddings, vector search, and agent orchestration for multi-step reasoning workflows.

• LLM & GenAI Integration at Scale (with Agent Frameworks) - Hands-on expertise integrating LLMs into enterprise applications, including prompt engineering, tool usage, and experience with frameworks such as LangGraph/LangChain, Semantic Kernel, or AutoGen.
• Retrieval Quality, Evaluation & Optimization - Strong background in evaluation frameworks (precision/recall, grounding accuracy, hallucination detection) and optimization techniques (chunking, re-ranking, hybrid search).
• MLOps & Productionalization - Experience deploying AI solutions at scale with CI/CD pipelines, model lifecycle management, monitoring, and cloud environments (Azure preferred).
• Strong ML & Statistical Foundation - Deep expertise in Python, ML/statistics, and experimentation with a focus on rigorous validation of model performance and business impact.
• Systems Thinking & Enterprise Integration - Ability to architect and integrate AI solutions within enterprise ecosystems (preferably SAP/SRM or similar procurement workflows).
• Vector Databases & Retrieval Infrastructure - Hands-on experience with vector databases (e.g., Azure AI Search, Pinecone, FAISS) and optimization for real-time use cases.
• Core Engineering Best Practices - Strong proficiency in Python, Git, API development, and modern software engineering practices including CI/CD for ML systems.
• Experience running local models - we run local models on high compute servers on prem (500 GB RAM, 4 L40s GPUs, 64 cpu running on RHEL 9.7) before deploying the solution on cloud platform to save us the cloud cost during development

Pulled from the full job description

• Referral program
• Tuition reimbursement
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Health savings account, * 401(k)
• Dental insurance
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Tuition reimbursement
• Vision insurance