Python Developer

Location: Remote We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.

Summary

Join our dynamic customer's team as a Python Developer and collaborate on cutting-edge solutions in a remote, expert-driven environment. This opportunity is perfect for experienced Python professionals eager to make impactful technical contributions and uphold the highest standards of communication.

Day-to-day

• Design, develop, and maintain robust Python applications to address diverse technical challenges.
• Collaborate with cross-functional teams to define, implement, and deploy new features and enhancements.
• Participate in code reviews, ensuring adherence to best practices and high code quality.
• Troubleshoot, debug, and optimize existing code for performance, scalability, and reliability.
• Create and maintain clear documentation for developed solutions and team processes.
• Contribute to system architecture discussions and propose innovative technical solutions.
• Communicate proactively with team members, sharing progress and roadblocks effectively.
• Required Skills and

You bring

• Expert-level proficiency in Python with a strong track record of building scalable systems.
• Solid understanding of software development principles and design patterns.
• Excellent written and verbal communication skills, with a commitment to clarity and collaboration.
• Experience working in a remote, distributed team environment.
• Demonstrated problem-solving skills and analytical thinking.
• Proficiency with version control systems such as Git.
• Strong attention to detail and a passion for delivering high-quality solutions.
• Preferred

You bring

• Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization tools.
• Background in Agile development methodologies.
• Knowledge of additional programming languages or frameworks.