Python + Generative AI - Data Science Engineer

Job Details:

Employment Type: Permanent Payroll of the hiring organization

Client: A Leading IT Services Company

Experience Required: 5 to 18 Years

Job Location: PAN India

Role Overview

We are seeking experienced professionals to design, develop, and lead enterprise-scale Generative AI and Data Engineering solutions. The role involves architecting end-to-end AI platforms, building scalable data pipelines, and driving innovation across LLMs, Agentic AI, RAG frameworks, and Azure Databricks environments.

Responsibilities:

• Build scalable data pipelines using Python, SQL, PySpark, and Databricks.
• Architect enterprise-scale Generative AI solutions with LLMs, Agentic AI, and RAG.
• Design multi-agent systems (LangChain, LangGraph, Semantic Kernel, AutoGen).
• Implement MLOps/LLMOps pipelines, CI/CD, and observability frameworks.
• Collaborate with stakeholders to align AI platforms with business needs.
• Ensure Responsible AI compliance, security, and governance.

Mandatory Skills:

• Python (Data Science, AI/ML)
• Generative AI / Agentic AI (LLMs, RAG, Prompt Engineering, Fine-tuning)
• Azure Databricks, SQL, JSON
• Azure AI Studio, Azure OpenAI Service
• MLOps / LLMOps

Preferred Skills:

• GitHub Copilot, Docker, Kubernetes, REST APIs
• Vector Databases, Knowledge Graph, Hybrid RAG