Experience & skills required:

• Proven experience in developing Web APIs using Python.
• Strong expertise in creating and managing custom SDKs.
• Minimum 6 – 8 months of Generative AI experience
• Minimum 2-4 years of AI/ML experience on the Azure / AWS platform
• Minimum 2 – 4 years of software development experience
• Proficiency in guiding developers on SDK consumption and best practices.
• Experience with Azure services, including deployment and management of Python apps.
• Solid understanding of AI technologies and practical experience with LLMs, RAG, and Prompt Engineering.
• Excellent problem-solving skills and attention to detail.
• Able to articulate complex engineering challenges to fellow engineers and partner teams
• Strong communication skills and ability to work collaboratively in a team environment.

Soft skills:

• You’re a deeply motivated Software Engineer who wants to transform solutions to be resilient, self-healing, and scalable.
• Burning desire to be part of world-class Software engineering team that works on various cutting-edge tools and technologies utilizing cloud native, cloud agnostic and hybrid cloud solutions.
• You are extremely motivated, passionate about learning and contributing to the team and the business with "can do" attitude.
• You are committed to a higher standard of quality.
• You possess a strong drive to innovate and crave continual improvement of existing solutions, process.
• Execution centric, able to work quickly to solve problems and issues

Education

Required: Bachelor’s degree in computer science or information systems

Nice to have: Master’s degree in computer science or information systems

Responsibilities:

• Architect and implement Web APIs using Python, ensuring high scalability, security, and performance in line with industry best practices.
• Design, develop, test, and release custom Python SDKs by following a full SDLC, including comprehensive documentation and version control.
• Develop, deploy and manage Python applications on Azure, using services such as Azure Functions and App Service.
• Develop innovative AI solutions using Python, leveraging advanced techniques with LLMs, RAG, and Prompt Engineering to solve complex problems and explore new approaches using AI technologies.
• Ensure the performance, quality, and responsiveness of applications.
• Identify and correct bottlenecks and fix bugs to improve application performance.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Stay updated with the latest industry trends and technologies in Python development and AI.
• Document development processes, code changes, and best practices for future reference and training purposes.
• Mentor junior developers to improve their skills and understanding of best practices in Python development.