Software Engineer

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

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• Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you.
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• Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them.
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• Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between.
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• Owning the reliability, security, and cost of both classical systems and LLM pipelines.
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• Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI.
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• Writing evals and regression tests for AI features the same way you'd write unit tests for classical code.
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What you will NOT be doing

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• 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.
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• Writing tickets for junior engineers to implement.
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• Sitting in status meetings all day — few meetings, more shipping.
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• Working on a narrow slice of a giant codebase.
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Key responsibilities

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• Ship production code and AI features real students, parents, and staff rely on every day.
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• Own at least one major system end-to-end.
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• Move fast — features go from idea to production in days, not quarters — without breaking things.
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• Raise the AI-engineering bar as the team grows.
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Requirements

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• Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
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• 6+ years of full-time production engineering experience shipping software to real users at real scale.
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• At least one prior senior, staff, or tech-lead role.
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• Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
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• At least one shipped LLM-powered feature in production, with an eval story.
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• Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
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• Excellent written English
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• Legal authorization to work from India or Pakistan as a remote contractor with a US company.
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Nice to have

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• Master's or PhD from a tier-1 institution.
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• Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale.
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• 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.
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• Public GitHub or a personal AI project we can actually try.
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• A personal project you built because you wanted to.
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