Wizard AI
Senior Python Engineer
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Design and build backend systems and APIs for AI-driven products, ensuring scalability, reliability, and integration of ML models while collaborating with engineering and product teams.
The Role
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.
What You’ll Do- 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
- 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
- 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
The expected base salary range for this role is $200,000–$225,000 USD and will vary based on skills, experience, role level, and geographic location. Final compensation will be determined by considering these factors alongside overall role scope and responsibilities.
In addition to base salary, Wizard offers:
- 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
Wizard is committed to fair, transparent, and competitive compensation practices.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
