Software Engineer

Description

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

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.
• A public GitHub or a personal AI project we can actually try.
• A personal project you built because you wanted to.