Agent
Jobs
Applied
Tracker
Profile
    1. Jobs for you
    2. Job

    Job · 19011872

    Papigen Private Limited logo

    AI Developer II

    Papigen Private Limited · Not specified · onsite · Posted 28d ago

    Not disclosed5–7 yrsfulltimeSourced fromFoundit

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

    About this role

    Role Summary

    We are seeking an experienced AI Developer II to design, develop, and implement enterprise-grade Generative AI solutions leveraging Large Language Models (LLMs), Azure AI services, and cloud-native architectures. The ideal candidate will have strong expertise in building AI-powered applications, document intelligence solutions, machine learning workflows, and scalable Azure-based services. This role will contribute to the development of intelligent automation, AI-driven decision support systems, and enterprise GenAI initiatives.

    Scope Of Work & Key Responsibilities

    • Design, develop, and implement AI-powered applications using Large Language Models (LLMs) and Azure AI services.
    • Build and optimize prompt engineering frameworks for enterprise Generative AI use cases.
    • Develop intelligent document processing solutions using Azure AI Document Intelligence.
    • Create and maintain machine learning pipelines, model deployment processes, and MLOps workflows.
    • Design and develop scalable Python-based backend services and AI integrations.
    • Build serverless solutions using Azure Functions and Azure-native services.
    • Integrate AI models with enterprise applications, APIs, and business workflows.
    • Develop and manage structured and unstructured data solutions across SQL and NoSQL databases.
    • Collaborate with data engineers, architects, and business stakeholders to translate requirements into AI solutions.
    • Implement monitoring, logging, security, and governance controls for AI applications.
    • Support CI/CD pipelines, automated deployments, and DevOps best practices.
    • Participate in architecture reviews, testing activities, troubleshooting, and production support.
    • Create technical documentation, implementation guides, and knowledge transfer materials.

    Required Skills & Experience

    • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline.
    • 5–7 years of professional software development experience.
    • Strong expertise in:
      • Large Language Models (LLMs) such as GPT, BERT, and related transformer architectures
      • Prompt Engineering and Generative AI solution development
      • Python programming and backend development
    • Hands-on experience with:
      • Azure AI Document Intelligence
      • Azure Machine Learning
      • Azure Functions
      • Azure OpenAI Services
    • Experience implementing MLOps practices including model deployment, monitoring, and lifecycle management.
    • Strong knowledge of SQL and NoSQL databases.
    • Experience developing REST APIs and cloud-based AI services.
    • Familiarity with Azure DevOps, Git, CI/CD pipelines, and release management practices.
    • Experience working within Agile/Scrum delivery environments.
    • Strong analytical, troubleshooting, and problem-solving capabilities.
    • Excellent communication and stakeholder management skills.
    Preferred Skills

    • Experience with Retrieval-Augmented Generation (RAG) architectures.
    • Familiarity with vector databases and semantic search solutions.
    • Exposure to AI agents, orchestration frameworks, and intelligent automation platforms.
    • Experience with Azure Kubernetes Service (AKS) and containerized AI workloads.
    • Understanding of Responsible AI practices, governance, and security controls.
    • Knowledge of LangChain, LangGraph, Semantic Kernel, or similar AI development frameworks.

    Preferred Certifications

    • Microsoft Certified: Azure AI Fundamentals (AI-900)
    • Microsoft Certified: Azure AI Engineer Associate (AI-102)
    • Microsoft Certified: Azure Data Scientist Associate (DP-100)
    • Microsoft Certified: Azure Developer Associate (AZ-204)
    • Microsoft Certified: Azure Fundamentals (AZ-900)

    Why Join Us

    • Opportunity to lead enterprise-scale cloud and AI transformation initiatives.
    • Work on cutting-edge Agentic AI architectures and multi-cloud platforms.
    • Collaborative environment with global teams and high-impact projects.
    • Exposure to modern DevSecOps, platform engineering, and AI-driven solutions.
    • Strong focus on innovation, leadership growth, and continuous learning in emerging technologies.

    Skills: azure devops,langchain,bert,azure developer associate (az-204),prompt engineering,azure ai fundamentals (ai-900),rag,gpt,azure data scientist associate (dp-100),azure ai engineer associate (ai-102),ci/cd,azure ai document intelligence,azure open ai,microsoft certified,azure functions,python,azure kubernetes services,sql,langgraph,azure mlops,no sql,azure ml,azure fundamentals (az-900)

    Sourced from foundit

    Skills

    Azure DevopsAzure Machine Learningnosql databasesSQL databasespython programmingAzure AI ServicesAzure AI Document IntelligenceMLOps practicesAzure OpenAI servicesREST APIAzure Functions

    AI Developer II · waiting for your command