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    Job · 21985488

    Whitewhale Software Solutions logo

    GEN AI Engineer

    Whitewhale Software Solutions · Remote · remote · Posted 7d ago

    Undisclosed5–10 yrsfulltimeSourced fromNaukri

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

    About this role

    Job Summary

    We are seeking an AI/ML Engineer who will play a key role in designing, developing, and integrating intelligent AI solutions across our platform. The role involves working on a variety of AI initiatives - from model experimentation and fine-tuning to building intelligent agents and retrieval-augmented generation (RAG) systems. You will collaborate closely with cross-functional teams to bring AI capabilities into production and ensure seamless integration within our orchestration and application layers.

    Responsibilities

    • Design, implement, and optimize AI agents leveraging frameworks such as LangChain, LlamaIndex, or Haystack.
    • Build and maintain RAG (Retrieval-Augmented Generation) pipelines combining LLMs, embeddings, and vector search.
    • Develop and fine-tune ML and NLP models for internal use cases, work with vector databases, and design efficient retrieval workflows.
    • Collaborate with other product teams to integrate AI components into the orchestration layer and business systems.
    • Implement APIs and microservices that expose AI functionalities for broader system use.
    • Evaluate, benchmark, and monitor models using standard metrics and observability tools.

    Requirements

    • 5+ Years of experience in Product development and AI/ML or NLP solution development.
    • Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, TensorFlow, or Transformers.
    • Experience with LLM frameworks and strong understanding of retrieval systems, embeddings, and vector databases.
    • Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes).
    • Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI.
    • Good conceptual understanding of Generative AI fundamentals, including embeddings, RAG, RAG re-ranking/evaluation, semantic search, and AWS Bedrock.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    orchestrationUsagegoogle cloud platformMonitoringHugging Face TransformerscodingPythoncloudMicroservicesBudgeting

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