Software Engineer

Description

Summary: This is a senior, AI-forward Software Engineer role at Texas Sports Academy, focusing on building AI-powered tools and full-stack features directly with founders. Highlights: 1. Work directly with founders on AI-powered features 2. Ship code and AI features every week 3. Own major systems end-to-end 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.