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Copilot Developer Jobs in Florida (NOW HIRING)

Java Developer

Tampa, FL · On-site

$50 - $56/hr

Java Developer Location: Tampa, FL ( need Local Profile only) Experience - 8+ RTTO - 5 Days Onsite ... IDE (Intelli/VSCode) * Copilot and/or other AI code assist tools * Git/BitBucket * Kafka * MQ ...

Support senior developers in implementing approved CoPilot 365 features * Participate in requirements gathering sessions and document business needs * Collaborate with senior developers to implement ...

Angular Web Developer/Lead * Location: Miami, FL (Hybrid) * Type: 6-month contract-to-hire Key ... Familiarity with tools such as Claude or Copilot * Mindset: Passion for learning and adopting new ...

Sr. Front End React Developer

Orlando, FL · On-site

$107K - $141K/yr

Evaluate and integrate emerging tools such as GitHub Copilot, AI-powered UI components, and modern frontend frameworks Required Qualifications 6+ years of frontend software engineering experience ...

Sr. Front End React Developer

Tampa, FL

$108K - $142K/yr

Evaluate and integrate emerging tools such as GitHub Copilot, AI-powered UI components, and modern frontend frameworks Required Qualifications 6+ years of frontend software engineering experience ...

Java Developer

Tampa, FL

$46.50 - $60/hr

Java Developer Role - Java Developer | Rate - USD 65 hr | Location - Dallas, Jersey City, Tampa ... Familiar with AI tools Kiro, Copilot, MCP, etc. * Familiarity with Agile Frameworks Jira, Scrum ...

... or copilot • Wants people that like learning about new technologies • Hands-on Angular ... developer coding day-to-day on a multi-brand guest-facing web application. • You will build ...

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Copilot Developer information

What job makes $10,000 a month without a degree?

A Copilot Developer or similar high-demand tech roles can earn $10,000 or more per month through skills in programming, AI, and software development, often without requiring a formal degree. Success depends on experience, portfolio, and the ability to work on complex projects, sometimes in freelance or remote settings.

What is the salary of Copilot studio developer?

The salary of a Copilot developer varies depending on experience, location, and company size, but typically ranges from $80,000 to $150,000 annually. Developers working with AI tools and cloud platforms may also receive benefits such as flexible schedules and professional development opportunities.

What jobs in the US pay 300,000 a year?

For a Copilot Developer or similar high-level tech roles, annual salaries of $300,000 or more are typically found in senior software engineering, machine learning engineering, or AI research positions at large technology companies. These roles often require advanced skills in programming, AI frameworks, and extensive experience, with compensation including base salary, bonuses, and stock options. Executive or specialized roles in finance, law, or medicine can also reach or exceed this level, but for tech roles, it usually involves seniority and expertise in high-demand areas.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as AI research directors, machine learning executives, or specialized AI consultants, often requiring advanced skills in deep learning, data science, and software engineering. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to high total compensation.

What is a Copilot Developer?

A Copilot Developer is a software professional who specializes in integrating, customizing, or developing solutions using AI-powered coding assistants, such as GitHub Copilot. Their role often includes enhancing developer workflows by leveraging these AI tools, contributing to codebases, and ensuring that AI-generated code meets quality and security standards. They may also provide feedback to improve Copilot's suggestions and help teams adopt AI-assisted development practices. Copilot Developers often have strong programming skills and a deep understanding of how to effectively collaborate with AI tools.

What are the key skills and qualifications needed to thrive as a Copilot Developer, and why are they important?

To thrive as a Copilot Developer, a strong background in software engineering, proficiency in languages such as Python, JavaScript, or TypeScript, and experience with AI/ML concepts are essential, often supported by a relevant degree. Familiarity with GitHub Copilot, code editors like Visual Studio Code, and cloud platforms such as Azure or AWS is typically required. Strong problem-solving abilities, effective communication, and a collaborative mindset help developers integrate AI tools into workflows and assist end-users. These skills ensure efficient, innovative solutions and maximize the impact of AI-powered code assistance in software development environments.

What is the difference between Copilot Developer vs AI Software Engineer?

AspectCopilot DeveloperAI Software Engineer
Required CredentialsBachelor's in CS or related, coding skillsBachelor's or higher in CS, AI, or Data Science
Work EnvironmentSoftware development teams, tech companiesResearch labs, tech firms, startups
Industry UsageDeveloping AI-powered coding toolsDesigning and implementing AI models
Search & Comparison IntentFocus on coding automation toolsFocus on AI model development

While both roles involve AI and software development, a Copilot Developer primarily focuses on creating and improving AI coding assistants, whereas an AI Software Engineer designs and implements AI models across various applications. The roles overlap in skills but differ in their core objectives and work environments.

What are some common challenges Copilot Developers face when integrating AI-powered coding assistants into existing development workflows?

Copilot Developers often encounter challenges such as ensuring seamless integration of AI-assisted coding tools with a variety of development environments and version control systems. They must address concerns around code quality, security, and maintaining team coding standards, as AI-generated suggestions may not always align with best practices. Additionally, developers need to foster collaboration and trust within teams, encouraging effective use of Copilot without diminishing peer code reviews or knowledge sharing. Successful Copilot Developers proactively gather feedback from users and iterate on integration strategies to optimize productivity and code reliability.
What job categories do people searching Copilot Developer jobs in Florida look for? The top searched job categories for Copilot Developer jobs in Florida are:
What cities in Florida are hiring for Copilot Developer jobs? Cities in Florida with the most Copilot Developer job openings:
Infographic showing various Copilot Developer job openings in Florida as of June 2026, with employment types broken down into 16% Full Time, 83% Part Time, and 1% Contract. Highlights an 11% Physical, 1% Hybrid, and 88% Remote job distribution.

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Posted yesterday


Job description

Title: AI Engineer (Copilot)
Location: Miami, FL (Hybrid)

Job Summary:

We are seeking a highly skilled AI Engineer with hands-on experience in Microsoft Copilot, GitHub Copilot, and modern Generative AI technologies. The ideal candidate will design, develop, and deploy AI-powered solutions that enhance productivity, automate business processes, and deliver intelligent user experiences. This role requires expertise in large language models (LLMs), prompt engineering, AI orchestration frameworks, and enterprise Copilot integrations.

Key Responsibilities:

  • Design, develop, and implement AI-powered applications and Copilot solutions for enterprise use cases.
  • Build and customize Microsoft Copilot, Copilot Studio, and GitHub Copilot integrations.
  • Develop AI agents, chatbots, and workflow automation solutions using LLMs and conversational AI technologies.
  • Create and optimize prompts, retrieval-augmented generation (RAG) pipelines, and knowledge-grounded AI systems.
  • Integrate AI solutions with enterprise systems, APIs, databases, and cloud platforms.
  • Collaborate with business stakeholders to identify automation and productivity improvement opportunities.
  • Evaluate, fine-tune, and monitor AI model performance, accuracy, and reliability.
  • Implement responsible AI practices, security controls, and governance standards.
  • Stay current with advancements in Generative AI, Copilot technologies, and AI engineering best practices.
  • Support deployment, testing, troubleshooting, and continuous improvement of AI solutions.

Required Qualifications:

  • Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience in AI/ML, software engineering, or related technical roles.
  • Hands-on experience with Microsoft Copilot, Copilot Studio, GitHub Copilot, or similar AI assistant platforms.
  • Strong understanding of Large Language Models (LLMs), Generative AI, and prompt engineering techniques.
  • Experience with Python, JavaScript, C#, or other programming languages.
  • Familiarity with Azure AI Services, Azure OpenAI Service, Microsoft Power Platform, and cloud-native architectures.
  • Experience building AI agents, chatbots, and conversational AI solutions.
  • Knowledge of REST APIs, microservices, and enterprise system integrations.
  • Strong problem-solving, analytical, and communication skills.

Preferred Qualifications:

  • Experience with AI frameworks such as LangChain, Semantic Kernel, LlamaIndex, or similar technologies.
  • Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and embeddings.
  • Experience with MLOps, CI/CD pipelines, and cloud deployment practices.
  • Microsoft certifications related to Azure AI, Power Platform, or Copilot technologies.
  • Experience working in enterprise digital transformation initiatives.

Technical Skills:

  • Microsoft Copilot & Copilot Studio
  • GitHub Copilot
  • Azure OpenAI Service
  • Large Language Models (GPT, Claude, Gemini, etc.)
  • Prompt Engineering
  • Python, JavaScript, C#
  • LangChain, Semantic Kernel, LlamaIndex
  • Vector Databases (Pinecone, Azure AI Search, Weaviate, etc.)
  • REST APIs and Cloud Services
  • Power Platform and Power Automate

Success Metrics:

  • Delivery of scalable AI and Copilot solutions.
  • Increased business productivity through AI automation.
  • Improved user adoption and engagement of AI tools.
  • High accuracy, security, and reliability of AI-powered applications.
  • Effective collaboration with cross-functional teams and stakeholders.