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# Senior Full Stack AI Engineer

- **Company:** SPORTSBIZ BUILDERS LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Computing Platforms, Cloud Computing, Data Architecture, Cursor (Graphical User Interface Elements), DevOps, Python (Programming Language), Node.Js, Performance Tuning, SQL Databases, TypeScript, Data Logging, ReactJS, Amazon Relational Database Service, Kubernetes, Information Technology, Machine Learning Operations, Front End Software Development, Cloudwatch, Docker, Databricks, Microservices
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eecd0ded4500842f

## About the Role

Do you have experience in TypeScript?, Do you have a Bachelor's degree?, Are you passionate about building clean, scalable software? Do you thrive in an early-stage startup where your code directly shapes the product's direction?, * Experience: 5+ years of professional full-stack software engineering experience (ideally in a fast-paced startup environment).

 * The Stack: Strong, production-proven proficiency with Node.js, TypeScript, React, and SQL.
 * Cloud & DevOps: Hands-on experience architecting AWS infrastructure and managing containerized apps (Docker/K8s).
 * AI Native: Active experience using tools like Cursor or Claude Code inside a production workflow. You can demonstrate how you use AI to move faster without sacrificing quality.
 * Education: Bachelor's degree in Computer Science or equivalent practical experience.

Nice-to-Haves

 * Experience with Databricks Unity Catalog, SQL Warehouses, or Databricks APIs.
 * A solid understanding of data lakehouse architectures (Bronze/Silver/Gold tiers).
 * A genuine passion for sports, analytics, or data-driven software.

## Description

* Build and optimize slick, highly responsive frontend analytics interfaces using React.
 * Design resilient, high-performance backend APIs and microservices in Node.js, TypeScript, and Python.

Databricks Integration

 * Partner with Data Science to connect our app to Databricks Jobs, Workflows, and ML pipelines.
 * Build backend services that trigger, monitor, and consume data directly from our Lakehouse architecture (Delta tables).

Cloud & Platform Architecture

 * Own and optimize our AWS footprint (ECS, Lambda, S3, RDS, CloudWatch) to ensure extreme reliability.
 * Maintain clean CI/CD pipelines and containerized deployments using Docker and Kubernetes.
 * Architect core cross-cutting concerns: logging, auth, error handling, and performance tuning.


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