Papigen Private Limited
Website:
papigen.com
Job details:
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)
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