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    Home/Jobs/GenAI/Agentic AI Engineer

    GenAI/Agentic AI Engineer

    Persistent

    Hyderabad
    10-14 years
    Today
    ₹38–63 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Transformers
    Gen AI
    Python
    PyTorch
    TensorFlow
    NLP
    SQL
    data pipelines
    Azure
    AWS
    GCP
    MLflow
    Vertex
    SageMaker

    Description

    We are seeking a GenAI/Agentic AI Engineer with 10+ years of hands-on experience building scalable ML and GenAI solutions, particularly in the healthcare domain. The ideal candidate will have prior Optum/UHG/UHC experience. This is a full-time employment opportunity located at any PSL location.

    Company: Persistent

    Role: GenAI/Agentic AI Engineer

    Location: Any PSL location

    Experience:

    • 10+ years of hands-on experience building scalable ML and GenAI solutions
    • 7 to 14 years of experience

    Key Skills:

    • Python
    • PyTorch
    • TensorFlow
    • NLP
    • LLMs
    • transformers
    • GenAI tooling
    • SQL
    • data pipelines
    • MLflow
    • Vertex
    • SageMaker
    • Databricks
    • Airflow
    • Argo
    • Kubernetes
    • Azure
    • AWS
    • GCP

    Role Focus:

    • Build and deploy production-grade ML, NLP, and LLM/GenAI models
    • Implement modern AI architecture patterns
    • Convert functional requirements into scalable AI solutions
    • Develop and optimize models for claims automation, fraud detection, risk prediction, provider optimization, and document AI
    • Ensure models meet performance, reliability, and scalability standards
    • Work with data engineering teams to integrate models with healthcare datasets
    • Ensure PHI/PII safe, compliant pipelines
    • Implement CI/CD for ML/LLM workloads
    • Apply LLM Ops foundations for RAG and GenAI use cases
    • Work cross-functionally with product, cloud engineering, SMEs, and clinical teams
    • Participate in Agile processes and document reusable patterns and decisions

    Nice to have:

    • Prior Optum/UHG/UHC experience

    Other:

    • Competitive salary and benefits package
    • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
    • Opportunity to work with cutting-edge technologies
    • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
    • Annual health check-ups
    • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
    • Hybrid work and flexible hours to fit diverse lifestyles
    • Accessibility-friendly office with ergonomic setups and assistive technologies to support employees with physical disabilities

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python 3 Programming Specialization

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    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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