Senior AI Data Engineer at EXL Talent Acquisition Team

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

06 Oct, 26

Salary

0.0

Posted On

08 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLMs, RAG Pipelines, GPT, Agentic AI, LangChain, LangGraph, Python, Pyspark, Data Engineering, Data Science, NLP, SQL, Cloud Platforms, Containers, CI/CD, Monitoring

Industry

Business Consulting and Services

Description

Key Responsibilities * Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases * Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) * Implement prompt engineering and orchestration techniques (prompt chaining, tool/function calling, structured outputs) * Develop production-grade APIs and services (FastAPI/Flask/Streamlit) for GenAI applications * Integrate LLM solutions with enterprise systems, data platforms, and workflows * Apply guardrails and evaluation frameworks to improve response quality, reduce hallucinations, and ensure responsible AI usage * Collaborate with Data Engineering and MLOps teams for data pipelines, deployment, monitoring, and scaling * Contribute to reusable components, documentation, and engineering best practices Experience & Core Requirements (Must-Have) Overall Experience * 6–9 years total experience * 1–3+ years in hands-on GenAI / LLM application development (production use cases) 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 * Experience with fine-tuning techniques (LoRA, PEFT) or prompt tuning strategies * Experience with enterprise GenAI security & privacy practices (data masking, access control, compliance) * Familiarity with Azure AI ecosystem (Azure OpenAI, Azure AI Search, Fabric, etc.) Exposure to agentic coding tools (e.g., Claude Code or similar environments)

Responsibilities

The Senior AI Data Engineer will design and develop LLM-powered applications and build end-to-end RAG pipelines for business use cases. They will also collaborate with various teams to integrate LLM solutions and ensure responsible AI usage.