Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Junior AI Software Engineer (Austin, TX) role.
Rezi rewrites your resume against Texas Sports Academy Main's job description. Free.
Tailor your resume to this Junior AI Software Engineer (Austin, TX) role.
Rezi rewrites your resume against Texas Sports Academy Main's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Junior AI Software Engineer (Austin, TX) posting at Texas Sports Academy Main — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Junior AI Software Engineer (Austin, TX) posting at Texas Sports Academy Main — free, in seconds.
About the Role
As a Junior Software Engineer with Texas Sports Academy, you'll help build the software that runs our school, 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 seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.
Responsibilities
- 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.
- Pick up 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 get sharper at it every week.
- Write evals and regression tests for AI features the same way you'd write unit tests for classical code.
- 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.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
- Based in Austin, TX (or within commuting distance).
- 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.
- At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
- Experience with agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
- Public GitHub or a personal AI project that can be tried.
- A personal project built out of personal desire.
- Background in education, edtech, or sports.
Skills
- AI coding tools
- LLM-powered features
- Modern web stack
- TypeScript
- React
- Node
- Python
- Postgres
- AWS
- GCP
- Agent frameworks
- Vector search
- RAG
- Evals
- Prompt caching
- MCP servers
- Structured output
- Tool-use
- Voice agents
Location
- Austin, TX
Work Type
- Full-time
Experience Level
- Junior
- 0-2 years
Education Level
- Bachelor's degree
- Master's degree