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Junior Software Engineer Jobs in Georgetown, TX (NOW HIRING)

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Junior Software Engineer information

See Georgetown, TX salary details

$43.2K

$87.8K

$131.9K

How much do junior software engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for junior software engineer in Georgetown, TX is $87,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,800.00 and $88,700.00 per year, depending on experience, location, and employer.

What is a junior software engineer?

A junior software engineer works on a team with more senior engineers to help design and develop applications, write code, and otherwise maintain or update a business's database. As a junior software engineer, your duties and responsibilities may vary based on what company you work for. Overall, your job is to learn from senior engineers and developers on how to be a software engineer and in what ways you can develop and utilize the technologies of the business to do so. Many junior software engineers have a little bit of knowledge about a lot of technologies but also stay up-to-date on the most current technologies.

How does a junior software engineer typically collaborate with other team members on projects?

Junior Software Engineers usually work closely with senior developers, QA testers, and product managers as part of a cross-functional team. Collaboration often involves participating in daily stand-up meetings, code reviews, and pair programming sessions. Juniors are encouraged to ask questions and seek feedback, which helps them learn best practices and improve their coding skills. Effective communication and a willingness to learn from more experienced colleagues are key to thriving in this collaborative environment.

What are the key skills and qualifications needed to thrive as a junior software engineer, and why are they important?

To thrive as a Junior Software Engineer, you need a solid understanding of programming fundamentals, algorithms, and commonly used languages such as Java, Python, or JavaScript, typically backed by a degree in computer science or related field. Familiarity with version control systems like Git, basic knowledge of databases, and experience with development environments and frameworks are usually expected. Strong problem-solving skills, eagerness to learn, and effective teamwork and communication abilities help set you apart. These skills and qualities are crucial for contributing effectively to projects, adapting to evolving technologies, and collaborating within development teams.

What are the most commonly searched types of Software Engineer jobs in Georgetown, TX?

The most popular types of Software Engineer jobs in Georgetown, TX are:

What are popular job titles related to Junior Software Engineer jobs in Georgetown, TX?

For Junior Software Engineer jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Junior Software Engineer jobs in Georgetown, TX look for?

The top searched job categories for Junior Software Engineer jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Junior Software Engineer jobs?

Cities near Georgetown, TX with the most Junior Software Engineer job openings:

Infographic showing various Junior Software Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $87,841 per year, or $42.2 per hour.

Junior Software Engineer (AI-Forward)

Texas Sports Academy Main

Austin, TX โ€ข On-site

Full-time

Re-posted 20 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.