Texas Sports Academy Main

Software Engineer

🇬🇧 Віддалено, Велика Британія Віддалено IT Повна зайнятість Опубліковано Тра 1, 2026
Локація Віддалено, Велика Британія
Формат роботи Віддалено
Тип зайнятості Повна зайнятість
Категорія IT
IT-категорія Full Stack інженер
Мова English
Опубліковано 01 травня 2026 р.
Остання перевірка 27 травня 2026 р.
Контекст JobGrid

Огляд ролі від JobGrid

Software Engineer at Texas Sports Academy Main: Віддалено, Велика Британія; Повна зайнятість; IT; Full Stack інженер. This listing is part of JobGrid's Віддалені вакансії software engineer з кар'єрних сторінок. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Віддалено, Велика Британія
  • Role classification: IT, Full Stack інженер, Повна зайнятість
  • Source freshness: checked by JobGrid on 2026-05-27.
  • Application path: candidates continue to the employer application page with non-personal referral tags.

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.