Associate AI Data Engineer at EXL Talent Acquisition Team

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

LLM, Generative AI, RAG Pipelines, Prompt Engineering, Python, PySpark, FastAPI, LangChain, LangGraph, Azure Databricks, Snowflake, SQL, NLP, Data Engineering, API Integration, Cloud Platforms

Industry

Business Consulting and Services

Description

Key Responsibilities * Design and develop LLM-based solutions for business use cases (e.g., chatbots, summarisation, document intelligence). * Build and optimise RAG (Retrieval Augmented Generation) pipelines including data ingestion, embeddings, and retrieval. * Implement prompt engineering techniques (prompt design, chaining, optimisation). * Develop backend services/APIs for AI applications using Python frameworks (FastAPI / Flask / Streamlit). * Integrate LLM solutions with enterprise systems and structured/unstructured data sources. * Apply basic guardrails and evaluation techniques to improve response quality and reduce hallucinations. * Collaborate with cross-functional teams to ensure data quality, model performance, and deployment readiness. * Document solutions and contribute to reusable components and best practices. Must-Have Skills Experience * 2–4 years total experience, with exposure to AI/ML, NLP, or Data Engineering projects * Hands-on experience or strong learning exposure to LLM / GenAI use cases (projects, POCs, academic work, or professional) 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 * Exposure to agentic workflows or tool calling concepts * Basic knowledge of fine-tuning / prompt tuning (LoRA, PEFT – optional exposure) * Experience with Azure OpenAI / Azure AI Search or similar stacks * Awareness of enterprise AI considerations (data security, privacy, governance)

Responsibilities

Design and develop LLM-based solutions and RAG pipelines for business use cases like chatbots and document intelligence. Build backend services and APIs using Python frameworks while integrating AI solutions with enterprise data sources.