Agentic Ai developer

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.