Source description
About the role
Position Summary We're looking for an experienced Senior Data Engineer who has evolved into building AI-powered data platforms using Agentic AI. This role is ideal for engineers who have spent several years designing scalable ETL/ELT pipelines and modern data platforms, and have leveraged Agentic AI, LLMs, and RAG-based architectures over the past 2+ years to automate, optimize, and orchestrate intelligent data workflows .You will build enterprise-scale AI-enabled data products that combine modern Data Engineering with autonomous AI agents capable of reasoning, planning, and executing complex data operations. If you've worked on high-scale products, cloud-native data platforms, and are passionate about transforming traditional data engineering using Agentic AI, we'd love to connect with you . What You'll DoDesign and build scalable enterprise data platforms capable of processing structured and unstructured dat a.Develop robust ETL/ELT pipelines using Python, SQL, and cloud-native technologie s.Build intelligent data workflows using Agentic AI frameworks such as LangGraph, CrewAI, Semantic Kernel, or AutoGe n.Design RAG-based applications leveraging vector databases, embeddings, semantic search, and enterprise knowledge source s.Integrate AI agents with enterprise data platforms, APIs, data lakes, warehouses, and external system s.Optimize large-scale data pipelines for performance, reliability, scalability, and cost efficienc y.Build production-ready LLM applications with observability, evaluation, guardrails, and monitorin g.Collaborate closely with Product, Engineering, Data Science, and Architecture teams to build next-generation AI-enabled data product s.Contribute to architecture decisions, coding standards, and engineering best practice s. What We're Looking ForMust H ave8–12 years of experience in Data Engineer ing and software developme nt.Minim um 2 years of hands-on experience building Agentic AI or LLM-based enterprise applicati o ns.Strong expertise in Pyt hon a nd S QL.Proven experience designing scalable ETL/ELT pipelines and modern data platfor ms.Experience working on high-volume, production-scale data produc ts.Hands-on experience with Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, Semantic Ker nel, or simil ar.Strong understanding of LLMs, RAG, embeddings, vector databases, prompt engineering, and semantic sea r ch.Experience with cloud platforms (Azure, AWS, or GC P).Experience building REST APIs and integrating enterprise applicatio ns.Strong problem-solving and system design skil ls.Good to H aveDatabricks or Snowfla ke.Spark or PySpa rk.Kafka or event-driven architectur es.CI/CD, Docker, Kubernetes, and MLO ps.Azure OpenAI, OpenAI, Anthropic, Gemini, or open-source LL Ms.Why Join UsBuild production-gra de Agentic AI platfo rms, not just prototyp es.Work on enterprise-scale AI products with global custome rs.Solve challenging problems at the intersection of Data Engineering, AI, and Automat i on.Collaborate with experienced architects and AI specialis ts.Opportunity to influence the future of intelligent data platfor ms.
More at saarthee