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Software Developer No Technical Interview Entry Jobs in Florida

Advantive

AI Software Developer

Tampa, FL · On-site

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to ... Contribute to engineering standards through code reviews, technical design discussions, and shared ...

Ensure Data Solutions, LLC

Software Developer

Miami, FL · On-site

$80K - $100K/yr

... for a Software Engineer/Programmer with experience in healthcare to produce and implement ... and technical projects. In this role, you should be able to work independently with little ...

ISPA Technology

Junior Software Developer

Panama City Beach, FL · On-site

$59.50K - $77.30K/yr

... technical discussions • Support integration and performance optimization efforts Qualifications : Required : • Bachelor's degree in Computer Science, Software Engineering, or a related field (or ...

Ensure Data Solutions, LLC

Software Developer

Miami, FL · On-site

$80K - $100K/yr

... for a Software Engineer/Programmer with experience in healthcare to produce and implement ... and technical projects. In this role, you should be able to work independently with little ...

Paynuity

Software Developer

Orlando, FL · On-site

$75K - $100K/yr

The Full Stack Developer is responsible to help define and design the requirements, UI/UX, ... Comfortable with leading meeting and discussions with non-technical teams * Finding the best and ...

Paynuity

Software Developer

Orlando, FL

The Full Stack Developer is responsible to help define and design the requirements, UI/UX, ... Comfortable with leading meeting and discussions with non-technical teams * Finding the best and ...

Advantive

AI Software Developer

Tampa, FL

As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to ... Contribute to engineering standards through code reviews, technical design discussions, and shared ...

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Software Developer No Technical Interview Entry information

What are the key skills and qualifications needed to thrive as a Software Developer (No Technical Interview Entry), and why are they important?

To thrive as a Software Developer in roles without a technical interview, you need a solid understanding of programming fundamentals, problem-solving abilities, and often a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, common programming languages (such as Python, Java, or JavaScript), and basic software development tools is typically expected. Strong communication, teamwork, and a willingness to learn help you stand out in collaborative development environments. These skills ensure you can contribute effectively to projects, adapt to evolving technologies, and integrate smoothly with diverse teams.

What can I expect from the onboarding process as a Software Developer in a No Technical Interview Entry role?

As a Software Developer hired through a No Technical Interview Entry process, you can typically expect a comprehensive onboarding program that focuses on familiarizing you with the company’s development tools, coding standards, and workflows. You may participate in mentorship programs, training sessions, or pair programming to help bridge any skill gaps and integrate smoothly into the team. Collaboration and open communication are often emphasized, and you'll likely be encouraged to ask questions and seek feedback as you ramp up. This supportive environment helps build your confidence and ensures you’re set up for success from day one.

What are 'Software Developer No Technical Interview Entry' jobs?

'Software Developer No Technical Interview Entry' jobs are software development positions that do not require candidates to complete traditional technical interviews, such as coding challenges or algorithm tests. Instead, the hiring process may focus on assessing soft skills, previous experience, or portfolio work. These roles are often designed to lower barriers for entry-level developers or those changing careers. Employers may use alternative methods like take-home assignments, project reviews, or behavioral interviews to evaluate candidates. This approach aims to create a more inclusive and accessible hiring process for aspiring software developers.
What are popular job titles related to Software Developer No Technical Interview Entry jobs in Florida? For Software Developer No Technical Interview Entry jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Software Developer No Technical Interview Entry jobs in Florida look for? The top searched job categories for Software Developer No Technical Interview Entry jobs in Florida are:
What cities in Florida are hiring for Software Developer No Technical Interview Entry jobs? Cities in Florida with the most Software Developer No Technical Interview Entry job openings:
Software Developer No Technical Interview Entry jobs near you
Infographic showing various Software Developer No Technical Interview Entry job openings in Florida as of May 2026, with employment types broken down into 6% Internship, 68% Full Time, 14% Part Time, 6% Temporary, and 6% Contract. Highlights an 84% In-person, 6% Hybrid, and 10% Remote job distribution.
AI Software Developer

AI Software Developer

Advantive

Tampa, FL • On-site

Full-time

Posted 10 days ago

Job description

We are building the next generation of intelligent enterprise software-platforms that think, adapt, and automate alongside the people who use them. Our AI & Business Intelligence team delivers conversational assistants, intelligent search, data-driven agents, predictive analytics, and workflow automation that transform how businesses operate.
As a Mid-Level AI Software Developer, you will own and deliver production-ready AI features end-to-end. You will work across LLM integrations, retrieval-augmented generation (RAG) systems, and AI-driven workflows, building reliable backend services and applications that directly impact enterprise customers.
This role is ideal for an experienced software engineer who has shipped AI-powered features in production and is ready to take full ownership of feature delivery, including performance, reliability, and cost efficiency. We are looking for candidates who are practical, collaborative, and comfortable making sound engineering trade-offs in real production environments.
Responsibilities:
  • Design and deliver AI-powered product features end-to-end, from requirements and solution design through implementation, testing, deployment, and post-release optimization.
  • Build and maintain retrieval-augmented generation (RAG) workflows that ground LLM responses in enterprise data, including application-side retrieval design, response grounding, and retrieval tuning.
  • Implement application and backend services that integrate large language models and AI services into enterprise products through well-designed APIs and service boundaries.
  • Develop AI-assisted workflows and agent-style automations that interact safely with enterprise data, product capabilities, and external systems.
  • Create and maintain automated tests, evaluation practices, monitoring, and operational runbooks for AI-enabled features so reliability is designed in from the start.
  • Analyze production behavior, user feedback, and telemetry to improve answer quality, latency, reliability, and cost efficiency. Make and communicate trade-offs between model quality, latency, and cost.
  • Collaborate with product, UX, data, QA, and platform teams to define use cases, acceptance criteria, evaluation methods, and rollout plans.
  • Contribute to engineering standards through code reviews, technical design discussions, and shared best practices focused on testing, observability, security, and performance.

What Success Looks Like
  • Owns AI-powered features end-to-end in production, from implementation through post-release improvement.
  • Uses telemetry, user feedback, and evidence to improve answer quality, latency, reliability, and cost efficiency.
  • Makes sound trade-offs between quality, latency, and cost, and can clearly explain those decisions to technical and non-technical stakeholders.
  • Delivers reliable, well-tested features with appropriate monitoring, evaluation, and operational readiness.
  • Collaborates effectively across engineering, product, UX, data, QA, and platform partners to ship high-quality releases.

Skills & Requirements
Qualifications & Experience
Education
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent demonstrated professional experience.

Technical Skills
  • Proficiency in one or more backend languages and frameworks such as C#/.NET, Python, or TypeScript/Node.js.
  • Hands-on experience building and shipping AI-powered features in production, such as LLM integrations, retrieval-based search, conversational assistants, intelligent agents, or workflow automation.
  • Experience designing APIs and service integrations in distributed or service-oriented systems.
  • Working knowledge of relational databases, including schema design, query fundamentals, and indexing concepts.
  • Familiarity with cloud-hosted AI services such as Azure OpenAI, Azure AI Search, Azure Bot Service, Microsoft Agent Framework, or comparable platforms.
  • Understanding of evaluation, monitoring, and reliability considerations for AI systems in production.
  • Understanding of cost-quality trade-offs in LLM systems, including examples such as model selection, token efficiency, caching, or reducing unnecessary API calls.
  • Proficiency with Git, code review, CI/CD pipelines, and modern software development practices.

Experience
  • 3+ years of professional software development experience, including production experience designing, building, testing, deploying, and monitoring applications end-to-end.
  • Experience shipping at least one production-deployed AI-powered feature with measurable customer impact within the past 18-24 months. This can be part of the 3+ years of total experience.
  • Experience working with real production constraints such as operational reliability, data governance, and cost-performance trade-offs in AI-enabled systems.
  • Experience working in Agile/Scrum and collaborative cross-functional development environments.

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