·       Strong Python programming skills (OOP, async, testing).

·       Familiarity with LangGraph, Autogen2, or similar frameworks.

·       Understanding of LLMs, prompt engineering, and RAG architectures.

·       Basic knowledge of cloud platforms (Azure preferred) and containerization (Docker/Kubernetes).

·       Experience with Git and collaborative development workflows.

·       Professional working proficiency in English (written and spoken) for documentation and cross-team communication.

·       Additional regional languages are a plus but not required.

·       Ability to learn quickly and adapt to emerging Al technologies.

·       Strong problem-solving and debugging skills.

·       Comfortable working in agile teams and collaborating across functions.

·       Interest in Al adoption and enterprise-level applications.

·       Bachelor's degree from a reputable institution in Computer Science, Software Engineering, Data Science, or related field.

·       Junior Level: 0-2 years of experience in Python development and basic AI/ML projects. Exposure to LLM-based applications or agentic frameworks (LangGraph, Autogen2, LangChain) through internships or academic projects.

·       Mid Level: 2-5 years of professional experience in Al development or backend systems. Hands-on experience building agentic workflows or multi-agent orchestration.