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    Home/Jobs/Senior AI Engineer

    Senior AI Engineer

    Esko

    Bengaluru
    6+ years
    45 days ago
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LangChain
    LlamaIndex
    RAGAS
    LLM-as-a-Judge
    LangGraph
    CrewAI
    AutoGen
    G-Eval
    PyTorch
    JAX
    Pinecone
    Weaviate
    Milvus
    Weights & Biases
    MLflow

    Description

    Imagine yourself doing cutting-edge AI work that places you at the forefront of the AI space. Solving complex business problems through advanced Generative AI systems. Growing your expertise while contributing to sustainable innovation. Building intelligent solutions that transform packaging design and workflows.

    Company: Esko

    Role: Senior AI Engineer

    Location: Bengaluru, Karnataka, India (Hybrid, Full-time, Quarterly once visit to the office for 2 weeks)

    Experience:

    • Minimum of 6 years of overall software engineering experience
    • at least 3 years focused on LLM application development and deployment

    Qualification:

    • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field

    Role Focus: • Design and scale agentic AI systems to support long-running, complex workflows • Develop systematic evaluation and benchmarking pipelines • Implement advanced retrieval-augmented generation (RAG) strategies • Optimize model inference performance • Collaborate closely with Data Science and DevOps teams • Implement safety guardrails, red‑teaming workflows, and alignment mechanisms

    More skills:

    G‑Eval, LLM‑as‑a‑Judge, Haystack

    Other:

    • Esko is part of Veralto (NYSE: VLTO), a $5B global leader
    • Culture where purpose meets possibility
    • Diversity and inclusion valued
    • No fee for unsolicited referrals

    Prepare for this role

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

    Functions, Tools and Agents with LangChain

    Coursera

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

    Deep Neural Networks with PyTorch

    Coursera

    Hands-on PyTorch from tensors to CNNs and transfer learning.

    LangChain for LLM Application Development

    Coursera

    Official LangChain course taught by Harrison Chase. Covers chains, agents, and memory.

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