AI/LLM Software Engineer

A global, publicly listed technology company specializing in AI-powered enterprise analytics and business intelligence solutions. The organization helps large enterprises make data-driven decisions through cloud-native platforms and advanced analytics. It also operates at the intersection of artificial intelligence and digital assets, with a strong focus on innovation in data, finance, and emerging technologies.

About the Role

Seeking an AI/LLM Software Engineer to develop, maintain, and optimize AI-driven applications using Python. This role involves designing and building RESTful APIs with FastAPI, working with various Large Language Models (LLMs) including OpenAI and Azure OpenAI, and interfacing with both relational and vector databases. The engineer will also be responsible for deploying and managing AI applications on cloud platforms such as AWS, Azure, and GCP, utilizing Docker for containerization, and collaborating with cross-functional teams using Git.

Key Responsibilities

• 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.

Qualifications

• Bachelor’s/Master’s degree in Computer Science or equivalent.
• A minimum of 1-2 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.
• Strong analytical and problem-solving skills.
• Familiarity with data visualization tools such as MicroStrategy preferred.

Benefits & Perks

• Play a crucial role in a mission to push the boundaries of enterprise analytics and redefine financial investment strategies.
• Join a market leader at the forefront of groundbreaking shifts in treasury reserve strategy, including Bitcoin integration.