Job Description :
Our team is at the heart of delivering scalable, resilient, and intelligent solutions that empower customer engineering teams across the organization. We are seeking a highly experienced and innovative individual with a strong development experience and focus on AI / ML, agentic systems, and full stack development to join the team. This role offers the opportunity to lead the development of next-generation intelligent platforms The selected candidate will be mainly focusing on developing the agentic AI systems to transform Azure support.
Key Responsibilities :
- Architect, design, and implement scalable software solutions.
- Develop intelligent agentic systems capable of autonomous decision-making and task execution.
- Build and optimize AI agents using AI Foundry, Python, and reinforcement learning techniques.
- Develop full stack applications with a strong emphasis on backend services using C# and cloud-native technologies.
- Design and implement synthetic data generation pipelines to support training and evaluation of agentic models.
- Collaborate with product managers, researchers, and engineering teams to define technical requirements and deliver innovative solutions.
- Drive technical excellence through mentorship, code reviews, and adoption of best practices.
- Own the end-to-end lifecycle of software components, including design, development, testing, deployment, and maintenance.
- Contribute to architectural decisions, scalability strategies, and long-term technical vision.
- Evaluate and integrate emerging technologies to enhance platform capabilities.
- Ensure high standards of software quality, performance, and security.
Required Qualifications :
Bachelor’s degree in computer science, Engineering, or related field.10+ years of experience in software development, with a strong track record of delivering complex systems.5+ years of experience Python and C# with deep experience in AI / ML and full stack development.Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.5+ years of experience of data structures, algorithms, system design, and distributed computing.3+ years of experience with cloud platforms (Azure, Google Cloud, AWS, etc.) and microservices architecture.Preferred Qualifications :
Bachelor’s / master’s in computer science, AI, or related field.Experience with CI / CD pipelines, DevOps practices, and container orchestration (e.g., Kubernetes).Expertise in synthetic data generation, simulation environments, and AI evaluation frameworks.Proven leadership in driving technical initiatives and mentoring engineering teams.Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.