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EXL

Gen AI Engineer

EXL

Location
Hybrid (Pune, Maharashtra)
Employment
Full-time
Level
Mid Level
Posted 1 day ago

About the Role

EXL is a global digital transformation partner helping businesses optimize operations and drive intelligence through data and AI. This role involves building scalable GenAI solutions, managing production pipelines, and implementing RAG architectures to enhance product capabilities.

Skills

Generative AI Machine Learning LLM LangChain Retrieval-Augmented Generation Pinecone Python TensorFlow PyTorch Scikit-learn Prompt Engineering Data Science Vector Databases AWS Extract Agentic AI

Full job details

We are seeking a talented and driven GenAI Engineer with 3–6 years of experience to join our dynamic team. In this role, you will leverage your analytical skills, machine learning expertise, and Generative AI capabilities to manage Gen AI pipelines / workflows, extract insights from unstructured datasets, build intelligent AI solutions, and contribute to the development of innovative, scalable systems that enhance our products and services.

Responsibilities

  • Manage GenAI models production pipelines to debug defects and provide root cause assessments.
  • Build and orchestrate LLM‑based workflows using frameworks such as LangChain, including prompt engineering and pipeline design.
  • Implement Retrieval‑Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone for semantic search and contextual retrieval.
  • Work with document ingestion and extraction workflows, including processing unstructured documents (PDFs, scans, forms) using tools like AWS Extract and GenAI‑based extraction techniques.
  • Collaborate with cross‑functional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria.
  • Communicate findings and insights effectively to both technical and non‑technical audiences through visualizations, reports, and presentations.
  • Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics.
  • Mentor junior team members and contribute to a culture of continuous learning and technical excellence.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field.
  • 3–6 years of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects.
  • Hands‑on experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
  • Practical experience with LLMs, GenAI frameworks, LangChain, and prompt‑driven workflows.
  • Strong understanding of RAG patterns, vector embeddings, and vector databases such as Pinecone.
  • Candidates with Knowledge of Agentic AI will be preferred