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    Job · 15641862

    Yuva Consulting logo

    Sr AI Engineer(Customer Facing Role)

    Yuva Consulting · Remote · remote · Posted 48d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Were looking for an AI Engineer with 5+ years of experience who can build and deploy production-grade AI solutions and work directly with customers.


    The ideal candidate combines strong Python/software engineering fundamentals, hands-on GenAI experience, and excellent communication skills.


    What Youll Do

    • Work directly with customers to understand business problems and design AI solutions.
    • Build and deploy LLM, RAG and Agentic AI applications for enterprise use cases.
    • Develop intelligent agents using frameworks such as LangChain, LangGraph or CrewAI.
    • Build RAG pipelines using vector databases such as Pinecone, Weaviate or FAISS.
    • Develop scalable Python APIs and backend services.
    • Work with customer data and technical teams to integrate AI solutions into production.
    • Manage AI solutions end-to-end from data preparation and development to deployment, monitoring and optimization.
    • Collaborate with Engineering, Product and Solutions teams and provide customer-driven product feedback.
    • Follow best practices for code quality, scalability, performance and reliability.

    What You Bring

    • 5+ years of hands-on experience in AI/ML engineering or software/backend engineering.
    • Strong Python skills and experience building scalable APIs/backend services.
    • Hands-on experience with LLMs, Generative AI, RAG and/or AI Agents.
    • Experience with LLM platforms such as GPT, Gemini or similar.
    • Hands-on experience with LangChain, LangGraph, CrewAI or similar agentic frameworks.
    • Experience with vector databases and retrieval systems.
    • Strong understanding of ML/Deep Learning and production AI systems.
    • Experience working directly with customers or enterprise stakeholders.
    • Excellent communication and presentation skills.
    • Ability to work independently, manage multiple priorities and operate comfortably in a fast-paced environment.

    Good to Have

    • Experience with AWS, Azure or GCP.
    • MLOps/production AI experience.
    • Experience in AI startups, product companies or AI services environments.
    • Experience building customer-facing AI products.

    Interested candidates can send your profiles at [email removed]

    Sourced from naukri

    Skills

    AimlVector DatabaseCustomer FacingLarge Language Models (LLMs)PythonAgentic AiGenerative Ai

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