8–10 yrsChennaiOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize Azure Databricks jobs, pipelines (batch and streaming), and reusable Python/PySpark scripts for data ingestion, transformation, and analytics.
- Build and integrate Python-based microservices exposing AI capabilities and real-time/batch LLM inference with Databricks, data lakes, and APIs.
- Develop and maintain LLM-powered AI solutions including Copilot agentic workflows, prompt engineering, RAG pipelines, and ensure AI system performance and governance.
Minimum Requirements
- 8 to 10 years of experience in Python, data engineering, or backend development preferred.
- Strong proficiency with Python, PySpark/Spark SQL, REST APIs, Azure Databricks, Delta Lake, and Azure Data Lake Storage (ADLS Gen2).
- Hands-on experience with LLMs (e.g., Azure OpenAI, OpenAI), Copilot agentic mode, prompt engineering, and RAG architectures.
- Exposure to streaming platforms like Kafka or Event Hubs preferred; DevOps skills including CI/CD, Git, containerization (Docker), and infrastructure-as-code are important.
Ideal Candidate Profile
- Experienced in independently designing, deploying, and owning scalable AI solutions and cloud-native microservices with minimal supervision.
- Deep expertise integrating LLMs with big data platforms and implementing agentic AI workflows at enterprise scale.
- Strong technical leadership ability demonstrated through mentoring peers, collaborating cross-functionally, and enforcing architecture and governance best practices.