Join a cutting-edge AI/ML project involving the design and deployment of solutions powered by Large Language Models (LLMs).

Play a key role in building intelligent workflows, such as advanced chatbots or LLM-powered tools, using state-of-the-art frameworks and technologies.

Python AI Developer with Azure

Your responsibilities

• Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
• Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
• Implementing asynchronous and parallel programming solutions with asyncio
• Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
• Working both independently and collaboratively within the team
• Providing clear instructions to team members and helping coordinate day-to-day operations
• Communicating with the client on a regular basis
• Providing technical leadership for the team – mentor, coach, and lead by example

Our requirements

• 5+ years of background in development
• Strong background in Python, FastAPI
• Experience with Pydantic for data validation and schema definition in Python applications
• Hands-on experience with asyncio, asynchronous/parallel programming
• Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
• Understanding of RAG pipelines and hybrid search with vector databases
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Pragmatic approach to balancing process against flexibility in achieving objectives
• Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
• Excellent troubleshooting and communication skills
• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with agentic protocols such as MCP and A2A is a strong plus
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
• Familiarity with .NET is considered a plus
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
• Solid understanding of microservices architecture and its implementation in scalable systems