AI Data Engineer at EXL Talent Acquisition Team

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM, Generative AI, RAG Pipelines, Python, PySpark, LangChain, LangGraph, FastAPI, Azure Databricks, Snowflake, Prompt Engineering, Agentic AI, SQL, CI/CD, Data Engineering, NLP

Industry

Business Consulting and Services

Description

Key Responsibilities * Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases * Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation * Implement prompt engineering techniques (prompt templates, chaining, basic tool/function calling) * Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit) * Integrate AI solutions with enterprise systems, databases, and APIs * Apply basic guardrails and validation checks to improve response quality and reduce hallucination * Work with Data Engineering teams to ensure data quality, pipeline efficiency, and proper documentation * Collaborate with MLOps teams for deployment, monitoring, and iterative improvements * Document solutions, reusable components, and best practices Must-Have Skills Experience * 4–6 years total experience, with 1+ year hands-on experience in GenAI / LLM-based applications LLM / GenAI & Agentic Engineering * Strong hands-on experience with: * LLMs (Claude, OpenAI, etc.) * RAG pipelines and retrieval optimisation * GPT + Agentic AI implementation experience * Experience with: * LangChain, LangGraph, or similar frameworks * Agent orchestration and tool-calling architectures * Deep understanding of: * LLM limitations, evaluation, and optimisation strategies Core Engineering * Strong Python/Pyspark engineering expertise (production-grade development) with proven API integration experience * Deep data analysis experience and handling large volume of data * Fabric/Azure Databricks/Snowflake data engineering integration skills * Good exposure to: * Cloud platforms (Azure/AWS/GCP) * SQL * Containers, CI/CD, monitoring Data / AI Foundations (Mandatory) Prior experience in one or more: * Data Engineering (ETL/ELT, pipelines, orchestration) * Data Science / ML lifecycle (especially NLP) * Analytics engineering / data products Good-to-Have / Preferred * Exposure to model fine-tuning (LoRA/PEFT) or prompt optimisation techniques * Experience with evaluation of LLM outputs (quality, relevance, latency) * Understanding of enterprise data privacy and security considerations in GenAI * Exposure to Azure AI / Azure OpenAI / AI Search ecosystems * Experience working on real client-facing AI solutions or POCs

Responsibilities

Design and develop LLM-based applications and agentic workflows for enterprise use cases. Build and maintain RAG pipelines and integrate AI solutions with backend services and enterprise systems.