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Python Ai Developer Jobs in Florida (NOW HIRING)

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Python Developer Location: Tampa, FL (3 days onsite in a week) Contract to hire Required Skills ... Strong experience with AI/GenAI in software development. * Hands-on use of GitHub Copilot and other ...

Lead AI/ML Engineer

Tampa, FL · On-site

$96K - $127K/yr

... AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming ...

DevOps Engineer

Miami, FL · On-site

$50.25 - $69/hr

... with AI Coding Tools through all phases of the Software Development Lifecycle • Solid programming experience in an object oriented language, preferably Python (Python, Java, Go, etc.) • ...

Power BI/Python Developer

Lake Mary, FL · Hybrid

$44 - $60.50/hr

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help ... Leverage Python for data wrangling, automation, and advanced analytics to enhance reporting ...

Python Backend Developer Location: Miami, FL - Hybrid Duration: FTE Key Responsibilities * Design ... Integrate AI and LLM-powered capabilities into backend services, including agentic workflows and ...

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Design and implement agentic flows and build autonomous AI agents capable of reasoning, planning ... Core Python & Data Engineering: * Expert-level programming skills in Python and PySpark ...

Tech Lead Manager

Miami, FL · On-site

$17.75 - $19.50/hr

Manages, coordinates, plans, and leads a Python-focused AI software engineering team, including analysis, design, development, building and delivery of production AI and agentic applications.

Primary skill Python, Google Agentic Development Kit (ADK) Having Good experience in Python Google ... The developer must be able to create LLM-powered agents with dynamic decision-making, compose ...

Primary skill Python, Google Agentic Development Kit (ADK) Having Good experience in Python Google ... The developer must be able to create LLM-powered agents with dynamic decision-making, compose ...

Primary skill Python, Google Agentic Development Kit (ADK) Having Good experience in Python Google ... The developer must be able to create LLM-powered agents with dynamic decision-making, compose ...

Primary skill Python, Google Agentic Development Kit (ADK) Having Good experience in Python Google ... The developer must be able to create LLM-powered agents with dynamic decision-making, compose ...

SDK, API & Developer Tooling: * Build Python and Node.js/TypeScript SDKs and CLIs that give developers first-class interfaces for authoring, validating, and running AI agents locally and in ...

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Python Ai Developer information

See Florida salary details

$9

$43

$64

How much do python ai developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python ai developer in Florida is $43.81, according to ZipRecruiter salary data. Most workers in this role earn between $36.11 and $49.76 per hour, depending on experience, location, and employer.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

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

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.
What job categories do people searching Python Ai Developer jobs in Florida look for? The top searched job categories for Python Ai Developer jobs in Florida are:
What cities in Florida are hiring for Python Ai Developer jobs? Cities in Florida with the most Python Ai Developer job openings:
Infographic showing various Python Ai Developer job openings in Florida as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $91,119 per year, or $43.8 per hour.
Lead Engineer AI Developer Platform

Lead Engineer AI Developer Platform

Computer Merchant, Ltd., The

Saint Petersburg, FL • On-site

$80 - $100/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

JOB TITLE: Lead Engineer AI Developer Platform
JOB LOCATION: St. Petersburgh, FL (Hybrid)
WAGE RANGE*: $80-100/hr.
JOB NUMBER:
37355611
Required
  • 8+ years of senior engineering experience building enterprise-grade software that other engineers or business teams depend on - internal platforms, large-scale services, developer tooling, SDKs, or similar systems. At least two of those years must be deeply hands-on with large language models or agentic systems (this is non-negotiable for this role).
  • Prior experience building or extending agentic coding tools like Claude Code or OpenAI Codex, and IDEs like VS Code - or comparable tools.
  • Strong Python skills, and enough Node.js / TypeScript to be effective on the parts of the platform that require it.
  • Direct experience designing or substantially extending integrations between AI coding tools and external systems (any of: Model Context Protocol servers, custom LangChain/LangGraph tools, Copilot extensions, JetBrains AI plugins, Cursor / Continue / Aider integrations).
  • A working point of view on at least one production AI coding tool - enough to reason intelligently about prompt design, tool-use loops, context window economics, and where these systems tend to fail.
  • Experience with more than one LLM provider, and a clear position on building provider-agnostic abstractions so the platform isn't trapped on a single vendor's roadmap.
  • Cross-platform engineering experience across Windows, macOS, and Linux, including the realities of installers, path handling, shells, and credential storage on each.
  • Background in one or more of the technology stacks our application teams use ( Python, Java/Spring, Angular, React, .NET, Oracle, Redshift, SQL Server) - enough to be credible reviewing stack-specific contributions.
  • A track record of shipping infrastructure that other engineers depend on every day, and being accountable when it breaks.
  • Comfort working in a regulated environment - financial services - with the discipline that implies around secrets, data classification, change management, and auditability, and practical experience with the security and data-protection concerns specific to LLM systems: prompt-injection mitigation, secret-leak prevention through prompts and tool outputs, PII redaction, and trust boundaries around model output.
  • Deep, hands-on knowledge of the software development lifecycle and modern engineering methodologies - agile, trunk-based development, code review, CI/CD, and observability-driven operations - and experience operating in a mature CI/CD and observability environment (e.g., Azure DevOps, Jenkins, SonarQube, and a log or APM platform such as Splunk, Datadog, or Dynatrace).
  • Demonstrated technical leadership without direct authority - you have written architecture decision records that drove real consensus, presented technical direction to senior engineering and business leadership, and mentored other senior engineers (not just juniors) into stronger work.
  • Prior work on agent evaluation - golden task sets, regression suites, judge models, or other ways of measuring whether an AI workflow is actually getting better over time.
  • Active engagement with the developer-tools, AI agents, or AI/ML open-source community - substantive contributions, conference talks, or published writing that demonstrates depth and a public point of view.

JOB DESCRIPTION
About the Role
Lead Engineer to own the technical direction of our internal AI-powered developer platform - the AI Dev Kit - which helps engineers across the firm move from idea to production faster by putting a team of specialized AI agents alongside them inside their IDE.
The platform is already in active use by multiple application teams. We are now investing in making it broadly available, easier to install, measurably reliable, and durable against a rapidly evolving AI landscape. We need a senior technical lead to set the architecture, raise the engineering bar, and personally land the most important changes.
This is a hands-on role. You will write code, review pull requests, lead design discussions, respond to production issues, and shape the long-term technical vision in roughly equal measure. The right candidate is energized by building the tools that make every other engineer faster - and is comfortable making decisions in a space where the underlying technology changes every few weeks.
What You'll Do
Set the technical direction.
You will own the architecture of the platform - how it is structured, how new capabilities are added, how it stays portable across multiple AI coding tools, and how it remains usable on Windows, macOS, and Linux without compromise. You will write the patterns the rest of the team follows.
Ship the highest impact work yourself.
A few examples of what is on the near-term roadmap:
  • A single-click install that works identically on Windows and macOS, takes a brand-new engineer from "I have Git" to "I have a working AI dev environment" in under five minutes, and recovers cleanly from partial failures.
  • A usage and cost telemetry layer that gives finance and engineering leadership a trustworthy view of where AI spend is going, by team, by workflow, by model.
  • A sandboxed AI development environment where agent-driven changes can be built, tested, and reviewed before they touch a real branch.
  • Continued expansion of the agent and integration surface - new development workflows, additional enterprise system connectors, deeper knowledge curation for the business domains we support.

Keep the platform current as AI changes.
The model and tooling landscape moves on a 6-12 week cycle. You are responsible for keeping the platform from getting locked into a single vendor or a single approach. That means continuously evaluating new models, new agent patterns, new IDE surfaces, and new orchestration techniques - and being decisive about what to adopt, what to defer, and what to remove. You will run a quarterly capability review with the product owner and translate it into a clear plan.
Raise the engineering bar.
You will own code review for changes to the core of the platform, defend the test and coverage standards, drive incident response when the platform breaks for users, and make sure that the way we build the platform is itself an example of good engineering practice.
Influence the contributors.
You will technically lead and influence contributors from across the technology team, running a federated contribution model that lets application teams co-develop new features. You will run design reviews, pair on hard problems, unblock people, and grow the next generation of senior engineers on the team.
Engage with the engineers who use the platform.
You will hold regular office hours with the application teams adopting the platform, convert their friction into roadmap items, and partner with other stakeholders on what to build next.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
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