As a Software Engineer at Texas Sports Academy, you will design and ship AI-driven software features across various systems while collaborating directly with founders.
Software Engineer (AI-Forward)
As a Software Engineer with Texas Sports Academy, you play a key role in building 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 a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school.
What you will be doing
- Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you.
- Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them.
- Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between.
- Owning the reliability, security, and cost of both classical systems and LLM pipelines.
- Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI.
- Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
What you will NOT be doing
- Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you.
- Writing tickets for junior engineers to implement.
- Sitting in status meetings all day — few meetings, more shipping.
- Working on a narrow slice of a giant codebase.
Key responsibilities
- Ship production code and AI features real students, parents, and staff rely on every day.
- Own at least one major system end-to-end.
- Move fast — features go from idea to production in days, not quarters — without breaking things.
- Raise the AI-engineering bar as the team grows.
Requirements
- Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
- 6+ years of full-time production engineering experience shipping software to real users at real scale.
- At least one prior senior, staff, or tech-lead role.
- Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
- At least one shipped LLM-powered feature in production, with an eval story.
- Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
- Excellent written English
- Legal authorization to work from India or Pakistan as a remote contractor with a US company.
Nice to have
- Master's or PhD from a tier-1 institution.
- Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale.
- Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents.
- Public GitHub or a personal AI project we can actually try.
- A personal project you built because you wanted to.
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