6+ yrsCoimbatoreOn-siteDirect career pageEst. 20–35 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and productionize AI and Generative AI capabilities integrated with an enterprise cloud data platform, focusing on LLM applications, RAG solutions, AI agents, and vector database technologies.
- Enhance and extend scalable enterprise cloud data platform including data ingestion, transformation, processing pipelines, and reusable APIs to support AI applications.
- Translate business requirements into scalable AI/data engineering solutions, conduct technical POCs, collaborate with cross-functional teams, and ensure integration with data architecture and security standards.
Minimum Requirements
- 6+ years of experience in Data Engineering / Cloud Data Platforms.
- Minimum 1+ year hands-on experience in AI, Generative AI, LLM-based applications, or ML engineering.
- Strong technical skills with Python, SQL, Apache Spark, REST APIs, and experience with cloud platforms (AWS, Azure, or GCP).
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Engineering or related technical discipline.
Ideal Candidate Profile
- Experienced in building enterprise-grade Generative AI applications beyond prototypes, especially implementing RAG over enterprise data sources.
- Skilled in integrating AI applications with databases, APIs, enterprise apps, document repositories, and managing AI evaluation, monitoring, and responsible AI controls.
- Familiar with cloud-native data technologies (Databricks, Snowflake, Delta Lake), AI orchestration frameworks (LangChain, LlamaIndex), and vector databases (Pinecone, Weaviate).