Onlano
AI / Machine LearningOnsite

AI Engineer

EXL - Company

India, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Senior (4-7 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: India
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

EXL is hiring an AI Engineer to design, develop, and deploy end-to-end AI-powered enterprise platforms in India. This full-time, onsite position combines front-end and back-end engineering with advanced GenAI capabilities to build intelligent automation solutions for the insurance industry. You will work with Large Language Models, agentic AI workflows, and scalable APIs to transform underwriting, claims processing, and loss run extraction.

Job details

Location: India (Onsite)
Employment type: Full-time
Salary: Details available in employer description

This senior-level AI engineering role focuses on integrating LLMs into production systems, optimizing prompt engineering, and building intuitive user interfaces that enable intelligent decisioning across complex insurance workflows.

Responsibilities

  • Design and deploy end-to-end AI-powered enterprise platforms
  • Build scalable APIs integrating Large Language Models
  • Develop intuitive user interfaces for AI-driven workflows
  • Optimize prompts and orchestration logic for high-accuracy decisioning
  • Implement intelligent automation for underwriting and claims processing
  • Engineer agentic AI workflows for insurance domain applications

Requirements

  • Strong experience in full-stack development with AI/ML integration
  • Proficiency in Large Language Models and GenAI technologies
  • Expertise in prompt engineering and LLM orchestration
  • Experience building scalable APIs and front-end interfaces
  • Knowledge of insurance workflows (underwriting, claims) preferred
  • Strong problem-solving skills in AI-driven automation

Benefits

  • Work on cutting-edge GenAI enterprise platforms
  • Exposure to insurance domain AI applications
  • Opportunity to build production-scale LLM systems
  • Collaborative engineering environment

Keywords

AIGenAILLMMachine LearningPrompt EngineeringAPI DevelopmentInsurance TechAgentic AI