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    Home/Jobs/Senior AI Developer

    Senior AI Developer

    Premier Research

    India
    4-8 years
    Today
    ₹15–28 LPA
    Full-time
    Remote

    Skills Required

    LLM
    RAG
    Claude Workflows
    Claude on Foundry
    Claude Skills
    Vector Database
    Microsoft Copilot
    Copilot Studio
    Azure AI Foundry
    Azure Container Apps
    Python
    TypeScript
    PowerShell
    SQL
    .NET

    Description

    Premier Research is seeking a Senior AI Developer to design, develop, and support enterprise-grade AI solutions that help biotech, medtech, and specialty pharma companies innovate new medicines and devices.

    Company: Premier Research

    Role: Senior AI Developer

    Location: Remote | India

    Experience:

    • 4–6 years of IT experience with a Bachelor’s degree
    • 6–8 years equivalent experience supporting enterprise applications/AI systems

    Qualification:

    • Bachelor’s degree

    Role Focus:

    • Lead AI solution design and orchestration using Microsoft Copilot Studio, Claude Workflows, and Azure AI Foundry
    • Develop, test, and optimize AI prompts, workflows, and pipelines for enterprise use cases
    • Build and maintain integrations between AI platforms and corporate applications
    • Implement Retrieval-Augmented Generation (RAG) using Azure AI Search, vector databases, and embedding pipelines
    • Deploy and manage custom MCP servers and agent UIs via Azure Container Apps
    • Develop and maintain automation scripts
    • Administer and configure Azure AI Foundry components including Prompt Flow, model catalog, safety evaluations, deployment endpoints, monitoring, and agent service configuration
    • Resolve AI-related issues through ticketing system meeting SLAs
    • Lead AI platform upgrades, patches, and feature rollouts with test cases and validation
    • Develop and maintain documentation for AI workflows, integrations, and business processes
    • Create knowledge base articles for IT Service Management platform
    • Configure security models for AI applications ensuring least-privilege access and Responsible AI compliance
    • Lead AI projects and communicate status to team members, stakeholders, vendors, and IT leadership

    Additional responsibilities:

    • Collaborate closely with business stakeholders, application end users, and global IT teams
    • Provide best-practice guidance on AI tools usage
    • Maintain a customer-service-focused approach to internal and external stakeholders
    • Work independently and within a team environment

    Nice to have:

    • Experience with Workday integrations (EIB, Core Connector, RaaS, Studio)
    • Proficiency in Python, TypeScript, SQL, .NET, JavaScript, and automation scripting
    • Experience with integration platforms such as Azure Integration Services, WSO2

    More skills:

    JavaScript, REST APIs, webhooks, event-driven architectures, Azure Integration Services, WSO2, Workday integrations (EIB, Core Connector, RaaS, Studio), Salesforce, Cornerstone, LLM architecture, prompt engineering, AI safety, model evaluation, web services, APIs, XML, JSON, XSLT

    Other:

    • Fluent verbal and written English
    • Excellent team player with collaborative and consensus-driven approach
    • Ability to multitask and work effectively in a fast-paced environment with changing priorities
    • Strong communication, negotiation, organizational, and time-management skills
    • Strong desire to learn new skills and expand technical experience
    • Accountable, dependable, and committed to delivering high-quality results

    Prepare for this role

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

    Python for Everybody Specialization

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    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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