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EXL

AI Engineer

EXL

. Build AI-first products . Design and implement agentic workflows . Develop and optimize RAG pipelines . Rapid prototyping, testing, improving, and scaling . Work across the stack, including APIs, backend systems

Posted 10/27/2026full-timeGurugram • IndiaJuniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building AI-first products and developing agentic workflows, with strong coding skills in Python and experience with LLM APIs and relevant frameworks. Proven ability to rapidly prototype, test, and scale applications in a fast-paced, high-ownership environment.

Highest-signal resume keywords
Python ProgrammingLLM API ExperienceLangChain FrameworkRapid PrototypingReal World Application Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Software EngineeringMachine LearningAI DevelopmentRAG Pipeline OptimizationBackend Systems DevelopmentAPI IntegrationDeployment StrategiesCoding SkillsApplication ScalingExperimentation
Soft Skills
Fast LearningAdaptabilityOwnership
Tools & Technologies
OpenAILlamaIndexCrewAIAutoGenGitHub
Industry Keywords
AI-first ProductsAgentic WorkflowsPrototypingIntegrationProduction Deployment

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Build AI-first products
  • Design and implement agentic workflows
  • Develop and optimize RAG pipelines
  • Rapid prototyping, testing, improving, and scaling
  • Work across the stack, including APIs, backend systems, integrations, and deployment
  • Take ideas from 0 → 1 → production

Requirements

What you’ll need
  • 1–5 years of hands-on experience in software engineering / AI / ML
  • Strong coding skills (Python preferred)
  • Experience with LLM APIs (OpenAI, open-source models, etc.)
  • Experience with frameworks like LangChain, LlamaIndex, CrewAI, AutoGen (or similar)
  • Experience building real world applications (not just notebooks)
  • Ability to move fast, experiment, and learn quickly
  • Comfort working in a high-ownership, fast-changing environment
  • GitHub profile OR live projects / demos OR portfolio of AI applications built; applications without proof of work will not be considered