AI Full Stack Developer

Star Union Dai ichi Life Insurance (SUD Life); Navi Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Star Union Dai ichi Life Insurance (SUD Life) is seeking a talented AI Full Stack Developer to architect and implement enterprise AI and Generative AI solutions. The role covers Azure cloud, Python, ML, and modern web tech across the full stack.

You will design AI-powered interfaces, build REST APIs, and ensure scalable, secure deployments with strong documentation and governance.

Qualifications

• Strong expertise in Azure Cloud, Python, ML, Generative AI, API development, and modern web technologies.
• Experience designing enterprise-grade AI and GenAI solutions.
• Knowledge of data pipelines, MLOps, and governance practices.

Responsibilities

• Design, develop, and deploy AI/ML and Generative AI solutions using Azure AI services.
• Build and deploy RAG, Agentic AI, and LLM-based applications.
• Integrate Azure OpenAI, Cognitive Services, AI Search, and Vector Databases into business solutions.
• Develop prompt engineering frameworks and optimize AI model performance.

Skills

Azure cloud

Python

Generative AI

API development

Web technologies

ReactJS/Angular

Azure OpenAI

ML skills

LLM-based apps

Education

Bachelor's degree in CS/IT

MS/PhD preferred in AI/CS

Tools

Azure AI Services

FastAPI/Flask

Git & Azure DevOps

SQL/NoSQL databases

Job description

Job Description

AI Full Stack Developer | Azure AI, Python, GenAI & ML

Role Snapshot

Job Title: AI Full Stack Developer (Azure AI & GenAI)

Location: Navi Mumbai

Job Summary

We are seeking a highly skilled AI Full Stack Developer to design, develop, and deploy enterprise-grade AI and Generative AI solutions. The ideal candidate will possess strong expertise in Azure Cloud, Python, Machine Learning, Generative AI, API development, and modern web technologies. The role involves working across the entire application stack, integrating AI services into business applications, building scalable architectures, and producing high-quality technical documentation.

Key Responsibilities

AI & Generative AI Development

• Design and develop AI/ML and Generative AI solutions using Azure AI services.
• Build and deploy RAG, Agentic AI, and LLM-based applications.
• Integrate Azure OpenAI, Cognitive Services, AI Search, and Vector Databases into business solutions.
• Develop prompt engineering frameworks and optimize AI model performance.

Full Stack Application Development

• Develop responsive web applications and AI-powered interfaces.
• Build REST APIs and microservices using Python frameworks.
• Implement authentication, authorization, and secure integration patterns.
• Integrate enterprise systems, databases, and third-party APIs.

Machine Learning & Analytics

• Develop, train, and deploy machine learning models.
• Work with structured and unstructured data pipelines.
• Perform model evaluation, monitoring, and continuous improvement.
• Implement MLOps practices for production-grade deployments.

Cloud & DevOps

• Design scalable cloud-native architectures on Microsoft Azure.
• Manage Azure resources, deployments, networking, and security configurations.
• Automate deployments using CI/CD pipelines.
• Monitor application performance, reliability, and cost optimization.

Documentation & Governance

• Prepare High-Level Designs, Low-Level Designs, Technical Design Documents, and SOPs.
• Maintain architecture documentation, API specifications, and deployment guides.
• Ensure adherence to enterprise AI governance, security, and compliance requirements.
• Support audits, knowledge transfer sessions, and technical reviews.

Required Skills

Technical Skills,Front-End Skills,AI & ML Skills:

Python (Advanced)ReactJS / AngularGenerative AITechnical SpecificationsAzure OpenAI ServiceHTML5, CSS3Prompt EngineeringArchitecture DiagramsAzure AI ServicesJavaScript / TypeScriptRAG ArchitectureHLD / LLD CreationAzure FunctionsResponsive UI DevelopmentAgentic AI FrameworksAPI DocumentationAzure App Services NLP TechniquesUser Manuals & Knowledge ArticlesAzure Storage & Key Vault Model Evaluation & Monitoring Azure AI Search / Cognitive Search REST API Development FastAPI / Flask SQL & NoSQL Databases Git & Azure DevOps LangChain / LangGraph Vector Databases Scikit-Learn / PyTorch / TensorFlow

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, AI, IT, or related field.
• Microsoft Azure certifications such as Azure AI Engineer, Azure Data Scientist, or Azure Developer preferred.
• 3-5 years of software development experience.
• Minimum 2 years of experience delivering AI / GenAI solutions in production environments.
• Experience in BFSI / Insurance domain preferred.