Wizard AI Verified

Artificial Intelligence (AI), Machine Learning (ML), SaaS, Software

Senior Python Engineer

United StatesRemoteFull TimeSenior$200,000–$225,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Wizard is seeking a Senior Software Engineer to build and scale backend systems for their AI agent. This role focuses on integrating AI capabilities into production-ready systems, building APIs, services, and data pipelines that connect LLMs and ML models to user experiences. The engineer will ensure performance, reliability, and scalability, collaborate with ML Engineers and Product teams, and debug production issues. Success means reliably delivered AI features through well-architected systems with strong observability and rapid iteration capabilities. The ideal candidate has 5+ years of backend experience, strong Python proficiency, API design skills, and experience with ML systems in production.

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

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

Ideal Background

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

Compensation & Benefits

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.

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