> Markdown version of [/jobs/ext/654246-data-engineer-genai-rag-langchain-langgraph](https://www.wearedevelopers.com/jobs/ext/654246-data-engineer-genai-rag-langchain-langgraph). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - GenAI / RAG / LangChain / LangGraph - **Company:** Ravh IT Solutions - **Location:** Irvine, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Software Applications, Microsoft Azure, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Data Flow Control, Github, Graph Database, Python (Programming Language), Machine Learning, Standard Sql, Search Technologies, Software Deployment, Workflow Management Systems, Google Cloud, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Git, Fastapi, Microsoft Fabric, Data Lakes, Pyspark, Kubernetes, HuggingFace, Apache Kafka, Data Management, Machine Learning Operations, Virtual Agents, Restful APIs, Data Pipelines, Docker, Databricks - **Published:** June 26, 2026 - **Apply:** https://www.dice.com/job-detail/734bb70e-f040-471c-a779-a2362b73fd96 ## About the Role We are seeking a highly experienced Senior Data Engineer with expertise in modern data engineering and Generative AI technologies. The ideal candidate should have hands-on experience designing scalable data platforms while building AI-powered applications using RAG (Retrieval-Augmented Generation), LangChain, LangGraph, LLMs, and Vector Databases. The candidate should possess strong cloud data engineering expertise along with practical experience integrating Large Language Models into enterprise applications. Mandatory Skills Data Engineering * 8+ years of experience in Data Engineering * Strong expertise in Python and SQL * Apache Spark / PySpark * Databricks * ETL/ELT Pipeline Development * Delta Lake * Data Warehousing & Data Lake Architecture * Apache Airflow or equivalent orchestration tools * CI/CD for Data Pipelines * Git / Azure DevOps / GitHub Cloud Platforms (Any One) * Microsoft Azure (ADF, Synapse, ADLS) * AWS (Glue, EMR, Lambda, S3, Athena) * Google Cloud Platform (BigQuery, Dataflow) Generative AI / LLM * Hands-on experience building RAG (Retrieval-Augmented Generation) solutions * LangChain * LangGraph * OpenAI / Azure OpenAI / Anthropic Claude / Gemini APIs * Prompt Engineering * AI Agents / Multi-Agent Workflows * LLM Orchestration * Function Calling / Tool Calling * LLM Evaluation and Optimization Vector Databases Experience with one or more: * Pinecone * ChromaDB * FAISS * Weaviate * Milvus * Azure AI Search, * Financial Services / Asset Management * Banking * Healthcare * Insurance * Retail * Manufacturing Nice to Have * Microsoft Fabric * Snowflake * DBT * MLOps * Hugging Face * LlamaIndex * CrewAI / AutoGen * MCP (Model Context Protocol) * Knowledge Graphs * GraphRAG Recruiter Screening Checklist Candidates must have: * ️ 8+ years of Data Engineering experience * ️ Strong Python & SQL * ️ Databricks / Spark * ️ Azure or AWS * ️ RAG implementation experience * ️ LangChain * ️ LangGraph * ️ OpenAI / Azure OpenAI * ️ Vector Database experience * ️ AI Agent development * ️ Production deployment of LLM applications * ️ Strong communication skills ## Description * Machine Learning fundamentals * Embedding Models * Semantic Search * Document Processing * NLP * Model Deployment (preferred) Additional Skills * REST APIs / FastAPI * Docker * Kubernetes (Preferred) * MLflow * Kafka (Preferred) Responsibilities * Design and develop scalable enterprise data pipelines. * Build Retrieval-Augmented Generation (RAG) applications. * Develop AI Agents using LangChain and LangGraph. * Integrate enterprise data sources with LLMs. * Build semantic search solutions using vector databases. * Optimize prompt engineering and LLM performance. * Work with structured and unstructured data sources. * Collaborate with Data Scientists, ML Engineers, and Business stakeholders. * Ensure data quality, governance, scalability, and security. ## Related Videos - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)