AI Engineer - Claims Intelligence & Data Pipelines

EXL; Gurugram District; On-site; INR 1,500,000 - 3,500,000; Full time

Job summary

EXL is seeking talented AI Engineers to join our Claims Intelligence team and build production-scale AI systems that extract intelligence from insurance claims data.

The role blends Generative AI, NLP, data engineering, and cloud infrastructure to transform experimental models into scalable enterprise solutions. You will develop robust inference pipelines and contribute to end-to-end processing at scale. Experience with AWS EKS, Airflow, and monitoring tools is a plus.

Qualifications

• 4-12 years of experience in AI/ML roles.
• Proficient in Python and SQL.
• Experience with NLP, NER and text processing.

Responsibilities

• Build and scale AI inference pipelines.
• Integrate Data Science modules into production workflows.
• Develop large-scale data processing systems.
• Deploy and monitor AI systems using MLflow and Databricks.

Skills

Python

SQL

NLP

NER

Entity Extraction

Text Classification

GitHub

CI/CD

Job description

We are looking for talented AI Engineers to join our growing team and help build production-scale AI systems that extract intelligence from insurance claims data.

This role is ideal for engineers who enjoy working at the intersection of Generative AI, NLP, Data Engineering, and Cloud Infrastructure, transforming experimental AI models into scalable enterprise solutions.

Experience: 4-12 Years

About the Role:

Our Claims Intelligence platform leverages AI-driven insights from claim notes and documents to identify emerging trends and support decision-making for underwriters, adjusters, actuaries, and portfolio managers.

As an AI Engineer, you will focus on building and scaling AI inference pipelines, integrating Data Science modules into production workflows, and engineering large-scale data processing systems. This is a highly technical role with a strong emphasis on AI engineering and pipeline development rather than frontend/UI development.

What You'll Work On

Integrating NLP and LLM-based AI modules into end-to-end production workflows

Building scalable inference pipelines for:

• Document Classification
• Entity Extraction
• PII/DEID Processing

Developing Airflow DAGs and orchestration workflows on AWS EKS

Building hybrid search solutions using:

• Vector Search
• Full-Text Search

Managing large-scale document processing pipelines handling hundreds of millions of text chunks

Deploying and monitoring production AI systems using MLflow and Databricks

Required Skills

Python and SQL

NLP, NER, Entity Extraction, Text Classification

GitHub and CI/CD pipelines

Nice to Have