C
* ollaborate within an agile team to build AI-driven solutions : work with development tickets, contribute to sprint planning and reviews, and ensure alignment with team goals and timelines.
D
* rive AI research and experimentation : explore novel approaches, design and run experiments (including A/B tests), and translate findings into actionable improvements.
S
* upport end-to-end delivery processes : participate in release cycles, demos, and feedback loops to continuously improve AI features and user experience.
G
eneral skills:
S
* trong foundation in OOP, modular programming, unit testing, code readability, and maintainability.
F
* amiliar with development practices: Docker, Git workflows, documentation.
T
* eam collaboration: proficiency at working within the scrum framework.
A
I skills:
S
* trong experience with LangChain and Azure cognitive services (e.g., Azure OpenAI, AI Search, Document Intelligence).
T
* horough understanding of GenAI and LLM concepts: prompt engineering, LLM tools, RAG architecture and agentic design patterns.
P
ython backend development skills:
S
* trong experience in building RESTful microservices, leveraging tools such as FastAPI, SQLModel, Pydantic, Pika, Celery, Pymongo. Also, knowledge of related technologies such as SQL and NoSQL databases and message brokers.
S
* trong experience with Python async programming and WebSocket-based communication.
E
* xperienced in mature development practices: Docker, Git workflows, release management, documentation, and linting.
F
* amiliarity with Azure-centric development: Container Applications, Azure Functions, Service Bus, Blob Storage, etc.
O
ptional skills:
A
* dvanced GenAI skills: e.g. fine-tuning, employing Huggingface models, Model-Context-Protocol (MCP).
T
* raditional Machine Learning: scientific programming with Python (Pandas, scikit-learn, PyTorch); statistics and machine learning knowledge.
B
* ackground in research with a solid understanding of algorithm performance metrics, A/B testing, and feasibility analysis.
E