Senior Integration Software Engineer – Azure Integration Services

Key Responsibilities

1. Azure Integration and API Development

• Design, develop, test, and maintain API integration solutions using Microsoft Azure Integration Services.
• Develop secure, scalable, and reliable integration architectures.
• Build and maintain RESTful APIs using C#/.NET.
• Work with relational databases and ensure efficient data handling.
• Collaborate with cross-functional teams to understand business requirements and deliver suitable technical solutions.
• Optimize application performance, scalability, and reliability.
• Follow coding standards, security practices, and software quality guidelines.

2. AI/ML Architecture and Development

• Design and implement end-to-end AI/ML architectures, including Generative AI and Agentic AI solutions.
• Develop AI applications using Azure cloud technologies.
• Build, customize, and deploy LLM-based applications and AI services.
• Work with Python, large language models, Retrieval-Augmented Generation (RAG), and vector databases.
• Apply appropriate ML Ops practices to support deployment, monitoring, and maintenance of AI solutions.
• Integrate AI capabilities with enterprise applications and existing systems.

3. Azure OpenAI and AI Service Deployment

• Use Azure OpenAI to develop and deploy AI-powered solutions.
• Configure and integrate AI services into application and integration workflows.
• Support the deployment and maintenance of LLM-based services.
• Ensure AI solutions meet performance, scalability, and reliability requirements.

4. Security, Governance, and Compliance

• Implement appropriate security controls for integration and AI applications.
• Follow AI governance and compliance requirements.
• Apply responsible and ethical AI practices.
• Maintain code quality, application security, and data protection standards.

Mandatory Technical Skills

• Minimum 5 years of relevant software engineering experience.
• Hands-on experience with Microsoft Azure Integration Services.
• Strong proficiency in C#/.NET.
• Experience developing and maintaining RESTful APIs and integration solutions.
• Knowledge of relational databases.
• Practical hands-on AI/ML development experience.
• Experience creating LLM-based applications and deploying AI services.
• Mandatory hands-on experience with Azure OpenAI.
• Understanding of Generative AI and AI application architecture.

Additional Relevant Skills

• Python
• Agentic AI
• Retrieval-Augmented Generation (RAG)
• Vector databases
• ML Ops practices
• AI governance, security, and responsible AI
• Cloud-based AI platform developmentKey Responsibilities1. Azure Integration and API Development
• Design, develop, test, and maintain API integration solutions using Microsoft Azure Integration Services.

Pay: ₹400,000.00 - ₹1,200,000.00 per year

Application Question(s):

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Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka