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    Home/Jobs/Cloud Specialist - Generative AI

    Cloud Specialist - Generative AI

    Niveus Solutions

    Mumbai
    3-5 years
    45 days ago
    ₹13–25 LPA
    Full-time
    Remote

    Skills Required

    Google Gemini
    Prompt Engineering
    LLM
    Agentic AI
    OpenAI GPT-4
    Claude
    Google Vertex AI
    Node.js
    Python
    PostgreSQL
    Bigquery
    REST
    GraphQL
    GCP
    Git

    Description

    Building AI-powered products across health insurance domains with Google Gemini (Vertex AI).

    Company: Niveus Solutions

    Role: Cloud Specialist - Generative AI

    Location: Remote

    Experience:

    • Hands-on experience with Google Vertex AI / Gemini API
    • Understanding of prompt engineering
    • Ability to design agentic workflows
    • Familiarity with Node.js or Python for AI service backends

    Role Focus: • Build AI-powered features across the health insurance platform using Google Gemini on Vertex AI • Design and optimize prompts for complex multi-step reasoning tasks • Work with Gemini's structured output capabilities • Build and iterate on AI agents • Manage context windows efficiently • Evaluate model outputs, measure accuracy and consistency

    Nice to have:

    • Health insurance domain knowledge

    More skills:

    Google Gemini (Vertex AI), Gemini API, Agentic workflows, LLM outputs, GCP (Cloud Run, Vertex AI, GCS), Docker

    Other:

    • Tech-first mindset
    • Genuine curiosity about AI agents
    • Ownership
    • Collaborative
    • Communication

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

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

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