Senior Python Engineer

Wizard
$200,000 - $225,000Remote

About The Position

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.

Requirements

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

Responsibilities

  • 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

Benefits

  • Equity in the form of stock options
  • Medical, dental, and vision coverage
  • 401(k) plan
  • Flexible PTO and company holidays
  • Fully remote work within the United States
  • Periodic company offsites and team gatherings
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