Gen Ai Engineer

EXL Service; Maharashtra; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

EXL Service is seeking a GenAI Engineer with 3–6 years of experience in Maharashtra to drive GenAI pipelines, extract insights from unstructured data, and build scalable AI solutions that enhance our products and services.

You will design LLM-based workflows with LangChain, implement RAG architectures using Pinecone, and manage document ingestion using AWS Extract and GenAI techniques. Collaborate across engineering, product, and business teams to define data needs and success metrics.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics or related field.
• 3–6 years of experience in data science, applied ML, or GenAI roles with a strong project portfolio.
• Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and GenAI tools.

Responsibilities

• Manage GenAI models production pipelines, debug defects and perform root-cause analysis.
• Build and orchestrate LLM-based workflows using LangChain, including prompt engineering and pipeline design.
• Implement Retrieval-Augmented Generation (RAG) architectures with vector databases like Pinecone for semantic search.
• Handle document ingestion and extraction workflows for unstructured data using AWS Extract and GenAI techniques.
• Collaborate with engineering, product, and business teams to define data requirements and success metrics.
• Communicate findings through visualizations, reports, and presentations to technical and non-technical audiences.
• Stay updated on Generative AI trends and best practices, mentoring juniors.

Skills

GenAI

Machine Learning

LangChain

LLMs

Prompt engineering

Data analysis

Documentation

Education

Bachelor’s or Master’s in Data Science, Computer Science, AI/ML, Statistics, Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

AWS Extract

Pinecone

Job description

Job Description: 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