As a Junior Software Engineer with Texas Sports Academy in Austin, TX, you will help build the software that runs our school systems, including student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward role. You will work directly with the founders and senior engineers, ship code weekly with AI in your loop, and grow into LLM-powered features that make our school feel nothing like a traditional school.
What You Will Be Doing - Ship production code and AI features that real students, parents, and staff rely on every day. - Own smaller systems and features end-to-end as you ramp up. - Move fast: features go from idea to production in days, not quarters, without breaking things. - Level up your AI-engineering chops alongside a senior team. - Bachelor’s or master’s degree in Computer Science, Engineering, Math, or Physics. - 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count. - Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software. - Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP). - Excellent written English. - Based in Austin, TX.
Nice to Have - At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story. - Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust,
As a Junior Software Engineer with Texas Sports Academy in Austin, TX, you will help build the software that runs our school systems, including student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is an early-career, AI-forward role. You will work directly with the founders and senior engineers, ship code weekly with AI in your loop, and grow into LLM-powered features that make our school feel nothing like a traditional school.
What You Will Be Doing - Ship production code and AI features that real students, parents, and staff rely on every day. - Own smaller systems and features end-to-end as you ramp up. - Move fast: features go from idea to production in days, not quarters, without breaking things. - Level up your AI-engineering chops alongside a senior team. - Bachelor’s or master’s degree in Computer Science, Engineering, Math, or Physics. - 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count. - Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software. - Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP). - Excellent written English. - Based in Austin, TX.
Nice to Have - At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story. - Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust,
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