Data & AI Engineer

Role Overview

We are seeking an experienced Data & AI Engineer - Customer Analytics AIML. The role focuses on building autonomous AI agents, context-aware systems, advanced retrieval solutions, and scalable AI architectures. You will design, develop, and deploy intelligent applications leveraging Generative AI (GenAI) and Agentic AI technologies.

Key Responsibilities

• GenAI Development: Design LLM-powered applications using RAG, prompt engineering, and advanced retrieval techniques.
• Agentic AI: Build autonomous multi-agent systems capable of reasoning, planning, tool execution, and workflow orchestration.
• Context Engineering: Develop intelligent context retrieval, semantic search, and GraphRAG solutions.
• Agent Memory: Implement short-term, long-term, and persistent memory for context-aware AI agents.
• AI Architecture: Design scalable AI services, APIs, and integrations with enterprise systems.
• AI Evaluation: Develop benchmarking, automated testing, and observability frameworks to evaluate agent performance and reliability.
• Data Integration: Build lightweight data pipelines to ingest, transform, and prepare structured/unstructured data for AI applications.

Must-Have Technical Skills

• Strong programming experience in Python and API development.
• Hands-on expertise with LLMs, Generative AI, RAG, and Agentic AI frameworks (LangGraph, LangChain, AutoGen).
• Knowledge of agent orchestration, tool calling, MCP, multi-agent workflows, embeddings, semantic search, and vector databases.
• Familiarity with SQL, data integration, cloud platforms (AWS/Azure), Docker/Kubernetes, CI/CD, LLMOps, Databricks, Apache Spark.