Developer - Data&AI

Star Union Dai-ichi Life Insurance Company Limited

Navi Mumbai

On-site

INR 1,500,000 - 2,200,000

Full time

29 hours ago
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Job summary

Star Union Dai-ichi Life Insurance Company Limited is seeking an AI Full Stack Developer to design, develop, and deploy enterprise-grade AI and Generative AI solutions on Azure. You will work across the full application stack, building AI-powered interfaces, REST APIs, and secure integrations with enterprise systems.

The role requires hands-on experience with Python, FastAPI/Flask, ML frameworks, and modern front-end tech (React/Angular).

Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, IT, or related field.
  • 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.

Responsibilities

  • 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.
  • 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.
  • Develop, train, and deploy machine learning models.
  • Work with structured and unstructured data pipelines.
  • Perform model evaluation, monitoring, and continuous improvement.
  • Design scalable cloud-native architectures on Microsoft Azure.
  • Manage Azure resources, deployments, networking, and security configurations.
  • Monitor application performance, reliability, and cost optimization.
  • 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.

Skills

Python
REST APIs
FastAPI/Flask
SQL/NoSQL
LangChain
LangGraph
Vector DBs
Scikit-Learn
PyTorch
TensorFlow

Education

Bachelors in CS/AI/IT

Tools

Azure

Job description

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.
  • Develop, train, and deploy machine learning models.
  • Work with structured and unstructured data pipelines.
  • Perform model evaluation, monitoring, and continuous improvement.
  • Design scalable cloud-native architectures on Microsoft Azure.
  • Manage Azure resources, deployments, networking, and security configurations.
  • 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:

Python (Advanced)

REST API Development

FastAPI / Flask

SQL & NoSQL Databases

LangChain / LangGraph

Vector Databases

Scikit-Learn / PyTorch / TensorFlow

Front-End Skills:

ReactJS / Angular

HTML5, CSS3

Responsive UI Development

AI & ML Skills:

Generative AI

Prompt Engineering

Agentic AI Frameworks

Documentation Skills

Technical Specifications

HLD / LLD Creation

API Documentation

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.
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