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EXL

Senior AI Engineer

EXL

GenAI Engineer building LLM-based applications, RAG pipelines, and AI APIs for enterprise systems. Collaborating on data quality, evaluation, deployment readiness, and reusable AI engineering practices.

Posted 8/5/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing LLM-based solutions, including chatbots and document intelligence, while optimizing RAG pipelines and implementing prompt engineering techniques. Proficient in backend service development and API integration for AI applications, with a strong focus on data quality and model performance.

Highest-signal resume keywords
LLM DevelopmentRAG Pipeline OptimizationFastAPI DevelopmentPython EngineeringData Analysis

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
LLMGenAIPrompt EngineeringData IngestionEmbeddingsRetrieval OptimizationAPI IntegrationMachine LearningData EngineeringSQL
Tools & Technologies
FastAPIFlaskStreamlitLangChainAzure DatabricksSnowflakeAzureAWSGCPScikit-learn
Industry Keywords
NLPData ScienceAI/MLData SecurityPrivacyGovernanceAgentic AITool-Calling ArchitecturesEvaluation TechniquesEnterprise AI

Tech Stack

Tools & technologies
AWSAzureCloudFlaskGoogle Cloud PlatformPySparkPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact
  • Design and develop LLM-based solutions for business use cases, including chatbots, summarisation, and document intelligence
  • Build and optimise RAG pipelines covering data ingestion, embeddings, and retrieval
  • Implement prompt engineering techniques including prompt design, chaining, and optimisation
  • Develop backend services and APIs for AI applications using FastAPI, Flask, or Streamlit
  • Integrate LLM solutions with enterprise systems and structured/unstructured data sources
  • Apply guardrails and evaluation techniques to improve response quality and reduce hallucinations
  • Collaborate with cross-functional teams to ensure data quality, model performance, and deployment readiness
  • Document solutions and contribute to reusable components and best practices

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field
  • 0–4 years of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects
  • Exposure to AI/ML, NLP, or Data Engineering projects
  • Hands-on experience or strong learning exposure to LLM/GenAI use cases through projects, POCs, academic work, or professional work
  • Hands-on experience with LLMs such as Claude and OpenAI
  • Experience with RAG pipelines and retrieval optimisation
  • GPT and Agentic AI implementation experience
  • Experience with LangChain, LangGraph, or similar frameworks
  • Experience with agent orchestration and tool-calling architectures
  • Deep understanding of LLM limitations, evaluation, and optimisation strategies
  • Strong Python/PySpark engineering expertise with production-grade development and proven API integration experience
  • Deep data analysis experience and experience handling large volumes of data
  • Fabric, Azure Databricks, or Snowflake data engineering integration skills
  • Exposure to Azure, AWS, or GCP cloud platforms
  • Knowledge of SQL, containers, CI/CD, and monitoring
  • Hands-on experience with machine learning frameworks including scikit-learn, TensorFlow, and PyTorch
  • Practical experience with LLMs, GenAI frameworks, LangChain, and prompt-driven workflows
  • Good-to-have exposure to agentic workflows or tool-calling concepts
  • Basic knowledge of fine-tuning/prompt tuning, including LoRA and PEFT, is optional
  • Experience with Azure OpenAI, Azure AI Search, or similar stacks
  • Awareness of enterprise AI considerations such as data security, privacy, and governance

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
  • Insurance
  • Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Senior AI Engineer 🔥 6 minutes ago 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Flask Google Cloud Platform PySpark Python PyTorch Scikit-Learn SQL Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Design and develop LLM-based solutions for business use cases, including chatbots, summarisation, and document intelligence
  • Build and optimise RAG pipelines covering data ingestion, embeddings, and retrieval
  • Implement prompt engineering techniques including prompt design, chaining, and optimisation
  • Develop backend services and APIs for AI applications using FastAPI, Flask, or Streamlit
  • Integrate LLM solutions with enterprise systems and structured/unstructured data sources
  • Apply guardrails and evaluation techniques to improve response quality and reduce hallucinations
  • Collaborate with cross-functional teams to ensure data quality, model performance, and deployment readiness
  • Document solutions and contribute to reusable components and best practices 🎯 Requirements
  • Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field
  • 0–4 years of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects
  • Exposure to AI/ML, NLP, or Data Engineering projects
  • Hands-on experience or strong learning exposure to LLM/GenAI use cases through projects, POCs, academic work, or professional work
  • Hands-on experience with LLMs such as Claude and OpenAI
  • Experience with RAG pipelines and retrieval optimisation
  • GPT and Agentic AI implementation experience
  • Experience with LangChain, LangGraph, or similar frameworks
  • Experience with agent orchestration and tool-calling architectures
  • Deep understanding of LLM limitations, evaluation, and optimisation strategies
  • Strong Python/PySpark engineering expertise with production-grade development and proven API integration experience
  • Deep data analysis experience and experience handling large volumes of data
  • Fabric, Azure Databricks, or Snowflake data engineering integration skills
  • Exposure to Azure, AWS, or GCP cloud platforms
  • Knowledge of SQL, containers, CI/CD, and monitoring
  • Hands-on experience with machine learning frameworks including scikit-learn, TensorFlow, and PyTorch
  • Practical experience with LLMs, GenAI frameworks, LangChain, and prompt-driven workflows
  • Good-to-have exposure to agentic workflows or tool-calling concepts
  • Basic knowledge of fine-tuning/prompt tuning, including LoRA and PEFT, is optional
  • Experience with Azure OpenAI, Azure AI Search, or similar stacks
  • Awareness of enterprise AI considerations such as data security, privacy, and governance Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Automation and Artificial Intelligence (AI) Delivery Lead 🕒 2 days ago TransUnion 10,000+ employees 💼 Consulting 📣 Marketing 📦 Logistics Website LinkedIn All Job Openings Automation and AI Delivery Lead managing technology-enabled solutions for Transformational Programs at TransUnion. Driving measurable business outcomes through multidisciplinary team leadership and technical delivery. 🏢🏡 Chennai – Hybrid 💰 Post-IPO Debt on 2018-04 ⏰ Full Time 🟠 Senior 🤖 AI Engineer Senior Gen AI Engineer 🕒 5 days ago Dun & Bradstreet 5001 - 10000 💼 Consulting 📣 Marketing 💸 Finance Website LinkedIn All Job Openings AI Engineer designing, building, and operationalizing AI-driven solutions for global Analytics organization at Dun & Bradstreet. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Docker Google Cloud Platform PySpark Python Lead Engineer 🕒 6 days ago Ford Motor Company 10,000+ employees 📦 Logistics 💼 Consulting 📣 Marketing Website LinkedIn All Job Openings Lead Generative AI Engineer spearheading design, development, and deployment of GenAI solutions for industrial challenges. Seeking hands-on builders with expertise in machine learning and large language models. 🏢🏡 Chennai – Hybrid 💰 Post-IPO Debt on 2023-08 ⏰ Full Time 🟠 Senior 🤖 AI Engineer Cloud PySpark Python Scala SQL AI Lead 🕒 July 28 Expleo Group 10,000+ employees 💼 Consulting 🎖️ Defense 📦 Logistics Website LinkedIn All Job Openings Agentic AI Lead at Expleo managing multi-agent systems development and deployment. Overseeing DevOps and MLOps with an experienced developer team. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer Airflow AWS Azure Cloud Docker Google Cloud Platform GRPC Jenkins Kubernetes Terraform Senior Analyst – AI Engineer 🕒 July 21 Dun & Bradstreet 5001 - 10000 💼 Consulting 📣 Marketing 💸 Finance Website LinkedIn All Job Openings Senior Analyst - AI Engineer responsible for developing automation and analytics solutions for Dun & Bradstreet. Collaborating with global teams to deliver AI use cases and enhance operational efficiency. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior 🤖 AI Engineer Amazon Redshift BigQuery Cloud Flask Numpy Pandas PySpark Python SQL View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs