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    Home/Jobs/Senior Engineer Digital & AI Solutions

    Senior Engineer Digital & AI Solutions

    Iq-eq

    Hyderabad
    9+ years
    Today
    ₹38–63 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    RAG
    Vector Database
    LangChain
    LlamaIndex
    TensorFlow
    PyTorch
    FastAPI
    cloud
    containerization
    CI/CD tools
    multi-agent AI frameworks
    API development
    Microservices
    AI deployment

    Description

    We are seeking a Senior AI Engineer to drive AI strategy, architecture, and development. This role focuses on building scalable AI solutions using LLMs, RAG, multi-agent frameworks, and AI-driven automation while ensuring secure and ethical AI practices.

    Company: IQ-EQ

    Role: Senior Engineer Digital & AI Solutions

    Location: International Tech Park Hyderabad, Block A, West Wing, 1st Floor, Plot No:17, Software Units Layout, Madhapur, Hyderabad, 500081 Hyderabad, Telengana, India (hybrid mode)

    Experience:

    • 9+ years of experience
    • 6+ years in AI, data science, or machine learning

    Key Skills:

    • LLMs
    • RAG
    • vector databases
    • multi-agent AI frameworks
    • TensorFlow
    • PyTorch
    • LangChain
    • LlamaIndex
    • API development
    • microservices architecture
    • AI deployment

    Qualification:

    • Strong expertise in LLMs, RAG, vector databases, and multi-agent AI frameworks
    • Proficiency in AI/ML tools such as TensorFlow, PyTorch, LangChain, and LlamaIndex
    • Strong leadership, problem-solving, and stakeholder collaboration skills

    Role Focus:

    • Lead and mentor a team of AI engineers and data scientists
    • Design scalable AI architectures integrating LLMs, multi-agent systems, and secure AI frameworks for enterprise applications
    • Develop and optimize AI solutions using advanced RAG techniques, vector databases, LangChain, LlamaIndex, and deep learning frameworks like TensorFlow and PyTorch
    • Build and deploy conversational AI, APIs (FastAPI), and microservices for real-time, AI-powered applications with strong performance optimization
    • Ensure robust AI deployment by integrating LLM security practices, working with databases, and leveraging cloud, containerization, and CI/CD tools for scalable solutions

    Other:

    • Competitive Total Rewards Package: Comprehensive annual compensation including basic salary, HRA, special allowance, provident fund, gratuity, internet allowance, and food allowance
    • Health & Insurance Coverage: Medical insurance, group term life insurance, and personal accident insurance
    • Allowances & Support: Transportation/transport allowance and shift allowance
    • Paid Time Off: Generous leave policy to support work–life balance
    • Commitment to sustainability and ESG
    • Diversity, Equity, and Inclusion steering committee
    • Learning and development programmes and systems
    • Hybrid working approach

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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