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AI Developer II

AI Developer II

papigen
5-7 Years
  • Posted 19 hours ago
  • Be among the first 10 applicants

Job Description

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)

More Info

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Key Skills

MLOps practices

NoSQL databases

Azure AI Document Intelligence

Azure AI services

SQL databases

Azure OpenAI Services

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