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 Engineering and software developme
- nt.Minimum 2 years of hands-on experience building Agentic AI or LLM-based enterprise applicatio
- ns.Strong expertise in Python and 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 Kernel, or simil
- ar.Strong understanding of LLMs, RAG, embeddings, vector databases, prompt engineering, and semantic sear
- 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-grade Agentic AI platforms, 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 Automati
- on.Collaborate with experienced architects and AI specialis
- ts.Opportunity to influence the future of intelligent data platfor
ms.
