Python Engineer

• We’re looking for a Senior Software Engineer to build and scale the backend systems that power our AI agent. This role sits at the intersection of backend engineering, machine learning, and product, and is focused on turning AI capabilities into reliable, production-ready systems
• You won’t be training models, but you will make them work in the real world. You’ll build APIs, services, and data systems that connect LLMs and ML models to user-facing experiences, ensuring performance, reliability, and scalability
• Design and build APIs and backend services that power AI-driven product experiences
• Develop systems that integrate LLMs and ML models into production workflows
• Build and maintain data pipelines supporting training, inference, and evaluation
• Partner closely with ML Engineers, Data Scientists, and Product to ship end-to-end features
• Improve system performance, reliability, and scalability across services
• Contribute to experimentation and feedback loops that improve model and product performance
• Debug complex production issues and drive root cause resolution
• Raise the bar on code quality, system design, and engineering standards
• What Success Looks Like:
• AI-powered features are reliably delivered through scalable, well-architected backend systems
• ML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptime
• Clear, maintainable APIs and services enable fast iteration across engineering and product teams
• Systems are designed with strong observability, enabling rapid debugging and improvement
• Engineering decisions consistently balance speed, quality, and long-term scalability

Cloud & infrastructure Containerization and orchestration Continuous improvement Collaboration and teamwork Problem-solving skills +7

2 months ago, * 5+ years of experience in software engineering, with strong backend focus

• Familiarity with databases (SQL and/or NoSQL) and data-intensive systems
• Clear communication and ability to collaborate across engineering, ML, and product
• Strong proficiency in Python and experience building production-grade systems
• Ability to operate in ambiguity and take ownership of loosely defined problems
• Experience with cloud platforms (AWS, GCP, or Azure) and modern infrastructure
• Experience designing APIs and service-oriented architectures
• Exposure to containerization and orchestration (Docker, Kubernetes)
• Strong product mindset with focus on real user outcomes
• Experience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar)

• Remote work culture
• Health, dental and vision insurance
• Mental healthcare support and services
• 401(K) plan
• 12 paid holidays
• 16 weeks parental leave
• Flexible PTO
• Life and AD&D insurance
• Equity