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 productive 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):

- By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.

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

📌 Senior Integration Software Engineer – Azure Integration Services (Bengaluru)
🏢 Ananta Services
📍 Bengaluru