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Edtech Developer Jobs in Texas (NOW HIRING)

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Edtech Developer information

What is an edtech developer?

An Edtech Developer is a professional who designs, builds, and maintains educational technology tools and platforms. Their work involves creating software, apps, and digital resources that enhance teaching and learning experiences. Edtech Developers collaborate with educators, instructional designers, and other stakeholders to ensure the technology meets educational needs and standards. They typically have skills in programming, user experience design, and an understanding of pedagogical principles. The goal of an Edtech Developer is to leverage technology to make education more accessible, engaging, and effective.

How does an edtech developer typically collaborate with educators and instructional designers during the development process?

Edtech Developers frequently work closely with educators and instructional designers to ensure that educational tools and platforms align with pedagogical goals and curriculum standards. This collaboration often involves regular meetings to gather feedback, prototype reviews, and adapting features based on classroom needs. By maintaining open communication, Edtech Developers can create user-friendly, effective learning experiences that truly support both teachers and students. Such teamwork not only streamlines development but also helps in identifying and solving potential usability challenges early on.

What are the key skills and qualifications needed to thrive as an edtech developer, and why are they important?

To thrive as an Edtech Developer, you need strong programming skills, a background in education technology, and often a degree in computer science or a related field. Familiarity with learning management systems (LMS), e-learning authoring tools, and programming languages like JavaScript, Python, or HTML5 is typically required. Creativity, problem-solving, and effective communication help Edtech Developers design engaging, user-friendly educational experiences. These skills ensure the creation of impactful, accessible digital learning solutions that meet both educational goals and user needs.

What is the difference between Edtech Developer vs Content Developer?

AspectEdtech DeveloperContent Developer
Primary FocusDesigning and developing educational technology tools and platformsCreating educational content such as lessons, videos, and assessments
Required SkillsProgramming, software development, UI/UX designWriting, editing, instructional design
Work EnvironmentTech companies, educational institutions, startupsSchools, publishing companies, online education platforms
Common CertificationsComputer Science, Software Development certificationsInstructional Design, Education certifications

While both roles support education, Edtech Developers focus on creating technological solutions, whereas Content Developers concentrate on producing educational materials. Understanding these differences helps in choosing the right career path or job search focus within the education technology industry.

Infographic showing various Edtech Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX

Full-time

Re-posted 11 days ago


Job description

As a Junior Software Engineer with Texas Sports Academy, you'll help build 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 an early-career, AI-forward seat. You'll work directly with the founders and senior engineers, ship code every week with AI in your loop, and grow into the LLM-powered features that make our school feel nothing like a traditional school.

What You Will Be Doing
  • Building and shipping product features across the full stack every week, with AI coding tools running alongside you.
  • Contributing to real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, and the evals behind them.
  • Working directly with the founders and senior engineers on scope and trade-offs, no PM layer in between.
  • Picking up ownership of smaller systems end-to-end and growing into bigger ones.
  • Running your own AI coding workflow, prompts, subagents, custom tools, MCP servers, and getting sharper at it every week.
  • 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, this role is not for you.
  • Sitting in status meetings all day. Few meetings, more shipping.
  • Working on a narrow slice of a giant codebase.
  • Waiting around for tickets. You'll be in the room when we decide what to build.
Key Responsibilities
  • Ship production code and AI features that real students, parents, and staff rely on every day.
  • Own smaller systems and features end-to-end as you ramp up.
  • Move fast. Features go from idea to production in days, not quarters, without breaking things.
  • Level up your AI-engineering chops alongside a senior team.

Requirements

  • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics.
  • 0 to 2 years of full-time engineering experience. Strong internships, side projects, and shipped personal work count.
  • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software.
  • Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP).
  • Excellent written English.
  • Based in Austin, TX.
Nice to Have
  • At least one shipped LLM-powered project, school project, hackathon, or side project, with some kind of eval story.
  • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use, or voice agents.
  • Public GitHub or a personal AI project we can actually try.
  • A personal project you built because you wanted to.
  • Background in education, edtech, or sports.