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Assistant Software Engineer Jobs in Miami, FL (NOW HIRING)

At least 8 years of professional software engineering experience, with 3+ years building and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

At least 8 years of professional software engineering experience, with 3+ years building and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

You'll assist in the design, development, and testing of software solutions for a variety of ... Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading ...

Worker Type Supplemental We are seeking a motivated and talented Software Engineering Intern to ... Write clean, maintainable, and efficient code under supervision. Assist in the integration and ...

Showing results 21-40

Assistant Software Engineer information

See Miami, FL salary details

$31.6K

$84.9K

$128.6K

How much do assistant software engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for assistant software engineer in Miami, FL is $84,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $99,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an assistant software engineer?

To thrive as an Assistant Software Engineer, you need a solid understanding of programming languages (such as Java, Python, or C++), software development fundamentals, and typically a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, basic debugging tools, and common development frameworks is important. Strong problem-solving abilities, collaboration, and effective communication help you work efficiently within teams and adapt to evolving project requirements. These skills and qualities are essential for delivering quality code, learning quickly, and contributing to successful software projects.

What are some common challenges faced by assistant software engineers when joining a new development team?

Assistant Software Engineers often encounter challenges such as adapting to unfamiliar codebases, learning new technologies or frameworks used by the team, and understanding the team's workflow and communication practices. It's common to spend initial weeks focusing on onboarding tasks, shadowing experienced developers, and gradually taking on more complex assignments. Collaboration with senior engineers is key, as they provide guidance and feedback to help you grow technically and integrate smoothly into the team's processes.

What is the difference between Assistant Software Engineer vs Software Engineer?

AspectAssistant Software EngineerSoftware Engineer
Required CredentialsBachelor's degree in CS or related field; some internshipsBachelor's or higher; more experience preferred
Work EnvironmentEntry-level, supervised tasks, learning-focusedFull responsibility for projects, independent problem-solving
Employer & Industry UsageCommon in tech companies, startups, IT departmentsStandard role across tech, finance, healthcare, and more

The main difference is experience and responsibility. Assistant Software Engineers are entry-level, focusing on learning and supporting tasks, while Software Engineers handle full project development independently. The roles often overlap in credentials and work environment, but the Software Engineer position involves greater autonomy and technical expertise.

Is 25 too late to become an assistant software engineer?

Age is not a barrier to becoming an assistant software engineer; many professionals start or transition into tech careers at 25 or later. Success depends on acquiring relevant skills such as programming languages, understanding software development processes, and gaining practical experience through projects or certifications.

What is an assistant software engineer?

An assistant software engineer is an entry-level or junior role responsible for supporting software development tasks such as coding, testing, and debugging under the supervision of senior engineers. They often work with programming languages like Java, Python, or C++ and may need foundational knowledge of software development tools and methodologies.

What are the most commonly searched types of Software Engineer jobs in Miami, FL?

The most popular types of Software Engineer jobs in Miami, FL are:

What are popular job titles related to Assistant Software Engineer jobs in Miami, FL?

For Assistant Software Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Assistant Software Engineer jobs in Miami, FL look for?

The top searched job categories for Assistant Software Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Assistant Software Engineer jobs?

Cities near Miami, FL with the most Assistant Software Engineer job openings:

Infographic showing various Assistant Software Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,888 per year, or $40.8 per hour.

Staff Software Engineer

Miami, FL • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago


Job description

Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology. We are serving a 105 billion dollar US local restaurant business. Headquartered in NYC and Tel-Aviv, Sauce wants restaurants to fulfill their highest potential, this means giving local establishments everything they need to connect directly with their customers. The Sauce team pools together decades of restaurant tech experience, along with seasoned tech, sales, marketing, product and operations executives who produce an industry-changing delivery system for successful local restaurants and chains.

About The Role:
 
We're looking for a rare kind of engineer: someone who thinks AI-first, ships end-to-end, and moves at a pace that makes a small team feel like a large one. You won't be handed tickets - you'll be handed problems, often loosely defined, and trusted to decide what to build, build it, and get it in front of real restaurants and their customers fast.
This is a high-ownership, founding-level role on our growing NYC team. You'll shape how AI shows up across the Sauce platform - from delivery optimization to the tools our restaurants and operators use every day. If you're the kind of person who saw a new model launch and shipped a working product that weekend, we want to talk.
What You'll Do:
  • Take ambiguous product ideas from zero to shipped - design, build, deploy, and iterate, largely on your own.
  • Build AI-native features (agents, RAG, tool-use, structured outputs, evals) as core product, not bolted-on demos.
  • Own the full stack: frontend, backend, data, model integration, and the glue in between.
  • Stand up the feedback loops - evals, telemetry, fast iteration - that make AI products reliable in production.
  • Make pragmatic build-vs-buy calls and keep the team on the frontier of what models can do.
  • Partner closely with product and operations to turn real restaurant problems into shipped solutions.
  • Raise the bar on velocity and product taste for everyone around you.
What You Bring:
  • Hands-on experience building with LLM APIs and SDKs (OpenAI, Anthropic, or open models) - writing code against the models, not wiring up no-code/automation tools.
  • Strong full-stack ability: you can own a feature from database to UI without waiting on anyone (TypeScript / Python and a modern web stack).
  • At least 8 years of professional software engineering experience, with 3+ years building and shipping production full-stack applications.
  • A builder first: a public trail - open-source repos, side projects, demos, or products with real users - that shows what you ship when no one's telling you what to do.
  • AI-first by default: you reach for models to solve problems, keep up with the ecosystem without being told to, and know what works in production vs. what's just a nice demo.
  • Product-minded: you care about the user and the outcome, not just the diff - you can decide what to build, not only how.
  • Fast: you compress weeks into days, shipping and iterating instead of polishing in private.
  • Comfortable with ambiguity and a small, fast-moving team.
 
Nice to have
  • A meaningful open-source project people actually use (stars, forks, downloads, dependents).
  • AI apps you launched solo that gained real traction.
  • Experience with agent/eval frameworks, vector stores, and production LLM tooling.
  • A history of being early - building in a space before it was obvious.
  • Contributions to leading AI or developer-tool projects.
  • Experience in marketplaces, logistics/delivery, or restaurant/local-commerce tech.
What We Offer:
  • Strong & Competitive Compensation Package, Including Equity
  • Company-Sponsored Insurance Package (Health, Dental, Vision, Mental Health)
  • Paid Parental Leave
  • Flexible Work Environment
  • Responsible Paid Time Off Policy

Sauce is an equal opportunity workplace and an affirmative action employer. We welcome all qualified applicants regardless of race, color, ancestry, religion, sex (including pregnancy and related conditions), national origin, sexual orientation, age, marital status, disability (physical or mental), gender identity, gender expression, genetic information, veteran status, citizenship, immigration status, or any other classification, category or characteristic protected by applicable federal, state or local laws. We understand the importance of creating a more diverse and inclusive workplace and celebrate our employees for their differences.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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