Description

Core Requirements

• Strong Python development experience
• SQL and database integration experience
• Hands-on AI experience (must be production-level, not theoretical)
• LLMs, RAG pipelines, and agentic workflows
• Experience with frameworks/tools such as:
  • LangChain
  • AutoGen
  • Semantic Kernel
• Azure AI / cloud integration experience preferred
• Experience building and integrating AI systems into production environments
• Strong decision-making and practical “common sense” engineering ability 

The Team 

As a Python Engineer, you will design and develop robust, cloud-native systems that power intelligent automation and decision-making. You will be a hands-on problem solver—building APIs, Azure Functions, and event-driven services that form the backbone of scalable, AI-ready enterprise applications.

How you will contribute 

• Write clean, maintainable, and testable code in Python, C#, or TypeScript.
• Integrate with databases (SQL, NoSQL, or cloud-native data stores) and design effective data access patterns.
• Implement event-driven architectures leveraging Azure Event Grid, Durable Functions, and API Management.
• Rapidly prototype and experiment with new SDKs, APIs, and frameworks to support AI-driven and agentic workflows.
• Develop monitoring, observability, and diagnostic tools to ensure reliability and performance.
• Apply software engineering best practices, including automated testing, CI/CD, and cloud cost optimization.
• Collaborate with peers through code reviews, technical design discussions, and mentorship.

Qualifications

• 7–10+ years of professional software development experience in backend or full-stack engineering.
• Proven ability as a hands-on problem solver who can translate complex requirements into reliable, maintainable solutions.
• Proficiency in  Python, with strong knowledge of object-oriented and functional programming principles.
• Hands-on experience developing and deploying Azure Functions, APIs, and event-driven systems.
• Experience integrating with databases and designing data interaction layers for performance and scalability.
• Solid understanding of microservices, serverless architectures, and distributed systems.
• Familiarity with Azure SDKs, Azure Cognitive Services, and cloud security best practices.
• Strong communication and collaboration skills; thrives in agile, iterative development environments.
• Practical exposure to AI/ML technologies, including LLMs, RAG, and orchestration tools like LangChain, AutoGen, or Semantic Kernel

Key Skills

Education

Bachelor's degree