Jobs → Data & Analytics → AI/Data Engineer

About the Role We are seeking an AI/Data Engineer with extensive experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI solutions. This role involves building and deploying advanced AI applications and working with vector databases. Key Responsibilities • Build and deploy Retrieval-Augmented Generation (RAG) applications • Develop AI Agents using frameworks like LangChain, LangGcapb, CrewAI, or AutoGen • Work with Vector Databases such as Pinecone, Odcant, Weaviate, Milvus, or ChromaDB • Design document ingestion, embeddings, retrieval, and knowledge search solutions • Develop scalable APIs and microservices for AI-powered applications • Implement LLM evaluation, monitoring, guardrails, and responsible AI practices Requirements • 4-6 years of experience in Data Engineering and AI solutions • Strong expertise in Python, SQL, PySpark, Databricks/Spark • Hands-on experience with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Claude, or Llama • Experience with cloud platforms (Azure preferred, AWS/Google Cloud Platform acceptable) • Familiarity with Azure AI Search, Azure OpenAI, and enterprise AI frameworks • Strong analytical, communication, and stakeholder management skills • Ability to work in an Agile environment and deliver enterprise-grade GenAI solutions • Healthcare domain experience (Claims, Membership, Provider, Clinical) is preferred