AI Developer II

Papigen; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Papigen in India is seeking an experienced AI Developer II to design, develop, and implement enterprise-grade GenAI solutions using Large Language Models (LLMs), Azure AI services, and cloud-native architectures.

The role focuses on building AI-powered applications, document intelligence solutions, and scalable ML workflows, contributing to intelligent automation, AI-driven decision support, and enterprise GenAI initiatives.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science or related field.
• 5–7 years of professional software development experience.

Responsibilities

• Design, develop, and implement AI-powered applications using LLMs and Azure AI services.
• Build and optimize prompt engineering frameworks for enterprise GenAI use cases.
• Develop intelligent document processing solutions using Azure AI Document Intelligence.
• Create and maintain ML 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 apps, APIs, and business workflows.
• Develop and manage structured and unstructured data solutions across SQL and NoSQL databases.

Skills

Large Language Models

Prompt Engineering

Python

Education

Bachelor's degree in CS/AI/DS

Tools

Azure AI Document Intelligence

Azure Machine Learning

Azure Functions

Azure OpenAI Services

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.

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)