- Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Engineering, or related field.

- 2-3 years of professional experience in AI development, with at least one end-to-end deployed LLM or AI product.

- Strong programming background in Python (preferred) or C#.

- Experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.).

- Solid understanding of RAG architecture and vector database design.

- Experience with RESTful API development and integration.

- Proficiency in SQL (T-SQL, PostgreSQL, MySQL) and general database design.

- Familiarity with LangChain, LlamaIndex, or similar AI orchestration frameworks.

- Working knowledge of cloud platforms (Azure, AWS, or GCP) for hosting AI workloads.

- Understanding of Docker, Kubernetes, or similar container orchestration tools.

- Experience integrating AI with web front ends (React, Next.js, or Streamlit preferred).

- Knowledge of embedding models, prompt engineering, and token optimization.

- Exposure to data transformation pipelines and ETL tools.

- AI/ML certification from a recognized institution (Microsoft, Google, Coursera, etc.).

- Experience working with Git, CI/CD pipelines, and DevOps environments.