Texas Sports Academy is seeking a Junior Software Engineer (AI-Forward) based in Austin, Texas, United States. This is an early-career, AI-forward role focused on building and shipping full-stack features for our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. You will work directly with the founders and senior engineers, shipping code weekly with AI in your workflow, and growing into LLM-powered features that make our school feel unlike a traditional school.
Texas Sports Academy is seeking a Junior Software Engineer (AI-Forward) based in Austin, Texas, United States. This is an early-career, AI-forward role focused on building and shipping full-stack features for our school, student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. You will work directly with the founders and senior engineers, shipping code weekly with AI in your workflow, and growing into LLM-powered features that make our school feel unlike a traditional school.
What You Will Be Doing - Build and ship product features across the full stack every week, with AI coding tools running alongside you. - Contribute to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them. - Work directly with the founders and senior engineers on scope and trade-offs, with no PM layer in between. - Take ownership of smaller systems end-to-end and grow into bigger ones. - Run your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and improve week by week. - Write evals and regression tests for AI features the same way you would write unit tests for classical code.
What You Will NOT Be Doing - AI is not optional: if you're not coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you. - Sitting in status meetings all day: few meetings, more shipping. - Working on a narrow slice of a giant codebase. - Waiting around for ticke
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What You Will Be Doing - Build and ship product features across the full stack every week, with AI coding tools running alongside you. - Contribute to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them. - Work directly with the founders and senior engineers on scope and trade-offs, with no PM layer in between. - Take ownership of smaller systems end-to-end and grow into bigger ones. - Run your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and improve week by week. - Write evals and regression tests for AI features the same way you would write unit tests for classical code.
What You Will NOT Be Doing - AI is not optional: if you're not coding with Claude Code, Cursor, Codex, or an equivalent agent loop, this role is not for you. - Sitting in status meetings all day: few meetings, more shipping. - Working on a narrow slice of a giant codebase. - Waiting around for ticke
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Based on: Junior Software Engineer
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