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.