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.