Senior Software Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and deploy human-in-the-loop interfaces that allow internal operators to review, amend, and approve AI-generated sports statistics in real time across numerous concurrent live streams.

• Design and implement fan-in-the-loop experiences — including interactive highlights, live stat overlays, and engagement features — for NFHS Network, GoFan, and MaxPreps.

• Take ownership of features from inception to completion: handling data modeling and API design through to frontend implementation and production deployment. You will deliver, not merely specify.

• Incorporate AI/ML model outputs (computer vision, LLMs) into production applications, creating the service layer that connects models with users.

• Build reusable Python service templates and UI component patterns that define the team’s standard for AI-centric development.

• Collaborate with computer vision engineers, product managers, and data teams to convert pipeline outputs into user-friendly, high-performance experiences.

• Contribute to system design and architectural decisions within the streaming intelligence program. Engage in code reviews, design reviews, and technical documentation.

• Assist in evaluating and integrating third-party tools and vendor APIs (annotation platforms, model serving infrastructure) as the platform expands.

⛳️ Requirements

• Over 3 years of professional software engineering experience with a strong proficiency in Python and a proven history of developing production web applications and APIs.

• Builder mindset — you have successfully delivered end-to-end features from concept to production, rather than just maintaining current systems. You prioritize action and iterate swiftly.

• Experience in integrating AI/ML models into user-facing applications (LLM APIs, computer vision pipelines, or similar). You are aware of the real-world challenges in making model outputs beneficial to users.

• Strong foundation in API design, data modeling, and service architecture. You produce clean, testable code and take pride in the systems you create.

• Knowledge of cloud infrastructure (AWS EKS, S3) and contemporary data tools (Snowflake, Kafka, or similar).

• Excellent communication skills and the ability to collaborate across disciplines — you can discuss user flows with a product manager and model outputs with a data scientist in the same day.

• Bonus: experience with frontend technologies such as React/TypeScript (particularly for interactive annotation or dashboard UIs), familiarity with sports data or video analytics, experience with annotation tools (Roboflow, CVAT, Label Studio), or a passion for developer experience and internal tooling.

🏝️ Benefits

• A variety of medical insurance plans to select from

• Dental, vision, life, and disability insurance

• Employee Emergency Fund

• Company equity (stock options)

• Flexible PTO policy

• 401K plan with company matching

• Hybrid/flexible work environment