About Us

We, at AUI are excited to introduce you to Apollo. Apollo is a breakthrough language model, built with a neuro-symbolic architecture to make conversational agents possible. Apollo enables the native tool use and controllability transformer-based agents lack. Apollo unlocks fine-tuning for agents, allowing continuous evolution from human feedback and ever-improving performance for conversational agents of any kind.

The Role: Python Developer

We're looking for a passionate and experienced Python Developer to help shape the future of AI. You'll play a crucial role in developing and implementing the backend systems that power our breakthrough language model, Apollo.

What You'll Do:

• Design and implement robust services and APIs to drive our product
• Collaborate with cross-functional teams to define, design, and ship new features
• Optimize existing systems for improved performance and scalability
• Participate in code reviews and contribute to team knowledge sharing
• Monitor, identify, and resolve backend/platform issues
• Implement and maintain microservices architecture and event-driven communication systems
• Integrate and operationalize large language models (LLMs) within the production environment
• Stay up-to-date with emerging trends and technologies in software development

Who We're Looking For:

• An experienced backend engineer passionate about scalable applications and robust APIs
• A skilled collaborator who thrives in cross-functional teams
• Someone adept at integrating advanced technologies like LLMs into production systems
• A proactive and detail-oriented problem-solver for backend issues
• An individual eager to stay ahead of the technology curve and embrace new challenges

Requirements:

• 3+ years of experience in backend development with strong Python proficiency
• 3+ years building RESTful API services with frameworks like Django, Flask, or FastAPI
• 3+ years working with task queues and asynchronous programming in Python
• Solid understanding of databases, caching mechanisms, and vector stores
• Strong knowledge of software architecture and design patterns, including microservices
• Experience integrating and working with LLMs in production systems
• Proficient understanding of code versioning tools, such as Git
• Experience with Docker and Kubernetes is highly desirable
• Experience in early-stage or growing startup environments is an advantage

If you're excited about pushing the boundaries of AI technology and want to be at the forefront of developing innovative conversational agents, we want to hear from you!