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AI Engineer - Claims Intelligence & Data Pipelines

AI Engineer - Claims Intelligence & Data Pipelines

Exl
4-12 Years
Not Disclosed
  • Posted 19 days ago
  • Be among the first 10 applicants

Job Description

Hiring: AI Engineer - Claims Intelligence & Data Pipelines

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.

Location: Gurgaon (Preferred)/ Hybrid

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
  • Trend Detection
  • Multilingual Search & Retrieval

Developing Airflow DAGs and orchestration workflows on AWS EKS

Building hybrid search solutions using:

  • Dense Embeddings
  • Vector Search
  • Full-Text Search
  • pgvector
  • Aurora PostgreSQL

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

Large Language Models (LLMs)

NLP, NER, Entity Extraction, Text Classification

Apache Airflow

AWS (S3, Athena, Glue, EKS, Fargate, SQS, Step Functions)

PostgreSQL / Aurora

MLflow & Databricks

GitHub and CI/CD pipelines

Nice to Have

Retrieval-Augmented Generation (RAG)

Multilingual NLP

Insurance Claims Analytics

Liquibase

Vector Databases & Search Platforms

Interested candidates can directly mail their updated resume to [Confidential Information].

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