Develop, maintain, and optimize AI-driven applications using Python.
Implement object-oriented programming, module creation, and unit testing to ensure code quality and maintainability.
Design and build RESTful APIs with FastAPI for seamless integration of AI services.
Work with various Large Language Models (LLMs), including OpenAI and Azure OpenAI, to enhance AI-driven functionalities.
Interface with relational and vector databases for efficient AI data retrieval and storage.
Implement text embedding techniques to improve AI-powered natural language processing tasks.
Deploy and manage AI applications on cloud platforms such as AWS, Azure, and GCP.
Utilize Docker for containerization, ensuring scalable and efficient deployment.
Collaborate with cross-functional teams using Git for version control and code management.
Requirements:
Bachelor s/Master s degree in Computer Science or equivalent.
A minimum of 4 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications.
Experience developing and maintaining RESTful APIs using FastAPI and interfacing with relational databases.
Experience in implementing LLMs (OpenAI, Azure) using vector databases, text embedding, and RAG.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and docker for AI deployment and scaling.
Strong Git skills for version control and collaborative development.
Ability to adjust and thrive in a fast-paced environment with changing priorities.
Strong analytical and problem-solving skills.
Familiarity with data visualization tools such as MicroStrategy preferred.
