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
Optional
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
Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
Solid understanding of microservices architecture and its implementation in scalable systems
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