Job Details

The RoleWe'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.Youwon'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 DoDesign and build APIs and backend services that power AI-driven product experiencesDevelop systems that integrate LLMs and ML models into production workflowsBuild and maintain data pipelines supporting training, inference, and evaluationPartner closely with ML Engineers, Data Scientists, and Product to ship end-to-end featuresImprove system performance, reliability, and scalability across servicesContribute to experimentation and feedback loops that improve model and product performanceDebug complex production issues and drive root cause resolutionRaise the bar on code quality, system design, and engineering standardsWhat Success Looks LikeAI-powered features are reliably delivered through scalable, well-architected backend systemsML and LLM capabilities are seamlessly integrated into product experiences with strong performance and uptimeClear, maintainable APIs and services enable fast iteration across engineering and product teamsSystems are designed with strong observability, enabling rapid debugging and improvementEngineering decisions consistently balance speed, quality, and long-term scalabilityIdeal Background5+ years of experience in software engineering, with strong backend focusStrong proficiency in Python and experience building production-grade systemsExperience designing APIs and service-oriented architecturesExperience working with ML/AI systems in production environments (LLMs, ranking, recommendations, or similar)Familiarity with databases (SQL and/or NoSQL) and data-intensive systemsExperience with cloud platforms (AWS, GCP, or Azure) and modern infrastructureExposure to containerization and orchestration (Docker, Kubernetes)Ability to operate in ambiguity and take ownership of loosely defined problemsStrong product mindset with focus on real user outcomesClear communication and ability to collaborate across engineering, ML, and productCompensation & BenefitsThe 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 optionsMedical, dental, and vision coverage401(k) planFlexible PTO and company holidaysFully remote work within the United StatesPeriodic company offsites and team gatheringsWizard is committed to fair, transparent, and competitive compensation practices.