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    Home/Jobs/GenAI/Agentic AI Engineer

    GenAI/Agentic AI Engineer

    Persistent

    PSL
    6+ years
    Today
    ₹23–44 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 AI/ML Engineers with 6+ years of hands-on experience building scalable ML and GenAI solutions, particularly in the healthcare domain. The ideal candidate will have strong experience with healthcare domain exposure, specifically in claims, clinical data, and provider/payor workflows. Prior Optum/UHG/UHC experience is highly preferred.

    Company: Persistent

    Role: GenAI/Agentic AI Engineer

    Location: Any PSL location

    Experience:

    • 6+ years of hands-on experience building scalable ML and GenAI solutions
    • Prior Optum/UHG/UHC experience is highly preferred

    Key Skills:

    • Python (PyTorch/TensorFlow)
    • NLP/LLMs/transformers
    • GenAI tooling
    • SQL
    • data pipelines
    • ML Ops / LLM Ops environments
    • 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 using MLflow, Vertex, SageMaker, Databricks, Airflow, Argo, and Kubernetes
    • 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:

    • Experience working in ML Ops / LLM Ops environments

    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

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

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