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Junior Python Developer Internship Jobs in Georgetown, TX

Finch

Junior Software Engineer - AI-Forward

Austin, TX · On-site

$80 - $100/hr

Strong internships, side projects, and shipped personal work count. * Daily, fluent use of AI ... Comfortable in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)

Ericsson GmbH

AI Model Developer

Austin, TX · On-site

$150 - $200/hr

Support the growth of junior team members and contribute to shared engineering best practices The ... Proficiency in Python and modern ML development workflows * Familiarity with model evaluation ...

Danaher

Software Engineer Internships

Austin, TX

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

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Junior Python Developer Internship information

See Georgetown, TX salary details

$22.3K

$82.7K

$127.8K

How much do junior python developer internship jobs pay per year?

As of Sep 9, 2026, the average yearly pay for junior python developer internship in Georgetown, TX is $82,669.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $80,800.00 per year, depending on experience, location, and employer.

What is a junior Python developer internship?

A Junior Python Developer Internship is an entry-level position designed for students or recent graduates who want to gain practical experience in software development using the Python programming language. Interns work under the guidance of experienced developers and contribute to projects by writing code, debugging, testing, and participating in team meetings. The internship helps individuals build technical skills, understand professional workflows, and improve their problem-solving abilities. It's an excellent opportunity to learn industry best practices and potentially secure a full-time role after the internship.

What kinds of projects and tasks can I expect to work on during a junior Python developer internship?

As a Junior Python Developer Intern, you will typically assist with developing and maintaining Python-based applications, writing and testing code, and debugging existing software under the guidance of more experienced developers. You may be assigned to work on tasks such as automating processes, building simple scripts, contributing to backend services, or supporting data analysis efforts. Interns often participate in team meetings, collaborate with other developers, and receive mentorship to help them grow their technical skills and understand real-world software development workflows.

What are the key skills and qualifications needed to thrive as a junior Python developer intern, and why are they important?

To thrive as a Junior Python Developer Intern, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and often a background in computer science or related coursework. Familiarity with version control systems like Git, basic knowledge of databases, and experience with frameworks such as Django or Flask are typically expected. Strong communication, eagerness to learn, and the ability to collaborate in a team environment are valuable soft skills. These competencies are crucial for effectively contributing to projects, adapting to new technologies, and growing within a technical team.

What is the difference between Junior Python Developer Internship vs Junior Software Developer?

AspectJunior Python Developer InternshipJunior Software Developer
Required CredentialsBasic programming knowledge, often pursuing or recent graduate in CS or related fieldSimilar, often with some experience or coursework in software development
Work EnvironmentInternship setting, learning-focused, often in tech companies or startupsEntry-level position, more responsibility, in various industries
Employer & Industry UsageCommon in tech companies, startups, and software firmsWidespread across industries including tech, finance, healthcare

The main difference is that a Junior Python Developer Internship is a temporary, learning-focused role aimed at gaining Python-specific skills, while a Junior Software Developer is a full-time entry-level position with broader responsibilities in software development. Internships often serve as a stepping stone to full-time roles, whereas Junior Software Developers are expected to contribute to ongoing projects.

What are popular job titles related to Junior Python Developer Internship jobs in Georgetown, TX?

For Junior Python Developer Internship jobs in Georgetown, TX, the most frequently searched job titles are:

What job categories do people searching Junior Python Developer Internship jobs in Georgetown, TX look for?

The top searched job categories for Junior Python Developer Internship jobs in Georgetown, TX are:

What cities near Georgetown, TX are hiring for Junior Python Developer Internship jobs?

Cities near Georgetown, TX with the most Junior Python Developer Internship job openings:

Junior Python Developer Internship jobs near you
Infographic showing various Junior Python Developer Internship job openings in Georgetown, TX as of June 2026, with employment types broken down into 1% Internship, 84% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $82,669 per year, or $39.7 per hour.

Junior Software Engineer (AI-Forward)

Austin, TX • On-site

Texas Sports Academy Main
See more jobs at Texas Sports Academy Mainexternal

Full-time

Re-posted 2 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.