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    Job · 21444660

    REMOTEFULLTIME

    Artificial Intelligence Engineer

    Yutitech

    Yutitech

    Remote · remote · Posted 2d ago

    Sourced fromNaukri
    ₹18.0L - ₹22.5L PA5–7 yrsfulltimeRemote

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    Section · 01

    About this role

    Job Title: AI Engineer Generative AI & LLM

    Experience: 5–6 Years
    Location: Remote – India
    Employment Type: Full-Time
    Salary: 18–22 LPA
    Open Positions: 2
    Joining: Immediate Joiners Preferred

    Job Description

    We are looking for an experienced AI Engineer with strong expertise in Python, Generative AI, Machine Learning, and Large Language Models (LLMs) to build and deploy scalable, production-ready AI applications.

    Key Responsibilities

    • Develop and deploy AI/ML applications using Python and modern AI frameworks.
    • Build LLM-powered applications, AI assistants, and intelligent agents.
    • Implement RAG pipelines, embeddings, semantic search, and vector databases.
    • Integrate AI models with REST APIs, databases, and external services.
    • Develop backend services using FastAPI, Flask, or Django.
    • Optimize AI application performance, accuracy, latency, and cost.
    • Deploy and maintain AI solutions using cloud platforms and Docker.
    • Collaborate with cross-functional teams to deliver production-ready solutions.

    Required Skills

    • Strong Python programming and software engineering fundamentals.
    • Hands-on experience with LLMs, Generative AI, and prompt engineering.
    • Experience building RAG-based applications and AI agents.
    • Knowledge of LangChain, LangGraph, Hugging Face, or similar frameworks.
    • Experience with vector databases and embeddings.
    • Familiarity with REST APIs, SQL/NoSQL databases, and FastAPI.
    • Knowledge of AWS, Azure, or GCP, along with Docker and CI/CD.
    • Strong problem-solving and communication skills.

    Preferred Skills

    • Experience deploying production-grade AI applications.
    • Knowledge of LLM evaluation, monitoring, and AI security.
    • Experience with model fine-tuning and MLOps practices.

    Interested candidates can apply with an updated resume highlighting their experience in Python, LLMs, RAG, Generative AI, and production AI deployments.

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    Section · 02

    Skills

    signal processingAlgorithm Designimage processingneural networksComputer VisionNatural Language ProcessingOpencvAi AlgorithmsPattern recognitionData StructuresPytorchTensorflowvVideo ProcessingDeep LearningArtificial IntelligenceMachine Learning

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