ZipRecruiter

Log In

1

Applied Engineer Jobs in Florida (NOW HIRING)

Trilon

Applied AI Field Engineer

Orlando, FL · On-site

The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies. This role ...

Material Bank

Applied AI Engineer

Boca Raton, FL · On-site

About the role As an Applied AI Engineer, you will drive the design, build, and deployment of next-generation AI-powered experiences across Material Bank's platform. You will work as part of the team ...

Apptad, Inc.

Applied AI Engineer

Sunrise, FL · On-site

Applied AI Engineer Contract Sunrise, FL • Develop, deploy, and refine AI-driven solutions, integrating generative AI models • Ensure AI systems meet enterprise standards for reliability ...

New

Daikin Applied

Outside Sales Engineer

Tampa, FL · On-site

Daikin Applied is seeking an Outside Sales Engineer . You will work in an assigned territory and partner closely with mechanical contractors, owners/customers, manufacturing representatives and ...

Deloitte

Director, Applied AI Engineering

Tampa, FL · On-site

Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub ... As a Director, Applied AI Engineering , you will shape and own the engineering strategy and ...

Daikin Applied

Project Engineer II

Tampa, FL · On-site

$74K - $124K/yr

Daikin Applied is seeking a Project Engineer II . You will have the ability to make an impact and shape your career with a company that is passionate about growth along with support of an ...

Softadom

Senior AI Engineer (LLM & Applied ML)

Miami, FL · On-site

$100 - $140/hr

Overview Demand for applied AI in business software has never been higher. Softadom is hiring a Senior AI Engineer who can move beyond demos: integrate models into Django and React products, define ...

next page

Showing results 1-20

All JobsApplied Engineer JobsApplied Engineer Jobs in Florida

Applied Engineer information

See Florida salary details

$7

$35

$65

How much do applied engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for applied engineer in Florida is $35.19, according to ZipRecruiter salary data. Most workers in this role earn between $26.78 and $45.43 per hour, depending on experience, location, and employer.

What is an applied engineer?

Applied engineers are professionals who use principles of engineering, mathematics, and science to solve practical problems and improve processes in various industries. Unlike theoretical engineers, applied engineers focus on implementing and optimizing technology, equipment, and systems in real-world settings. They often work in manufacturing, product development, quality control, and operations, bridging the gap between design and production. Applied engineers are skilled in troubleshooting, project management, and applying technical knowledge to enhance efficiency and innovation.

How do applied engineers typically collaborate with cross-functional teams during project development?

Applied Engineers often play a central role in project development by bridging the gap between design concepts and practical implementation. They work closely with teams from R&D, manufacturing, and quality assurance to ensure that solutions are both innovative and feasible. Regular meetings, collaborative problem-solving sessions, and clear communication are essential to address technical challenges and align project goals. This collaborative environment not only enhances project outcomes but also provides opportunities for Applied Engineers to learn from other disciplines and advance their careers.

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

To thrive as an Applied Engineer, you need a strong background in engineering principles, problem-solving, and project management, typically supported by a degree in engineering or a related field. Familiarity with CAD software, manufacturing systems, and quality control tools, as well as certifications like Six Sigma or Lean, are commonly required. Strong analytical thinking, effective communication, and teamwork skills help distinguish top performers in this role. These abilities ensure efficient project execution, innovative solutions, and successful collaboration within multidisciplinary teams.

What jobs can you get with applied engineering?

Applied engineers can pursue roles such as product development engineer, systems engineer, manufacturing engineer, or research engineer. These positions often require skills in problem-solving, technical knowledge, and proficiency with tools like CAD software or programming languages, and may involve working in industries like aerospace, automotive, or electronics.

What are the most commonly searched types of Applied Engineer jobs in Florida?

The most popular types of Applied Engineer jobs in Florida are:

What are popular job titles related to Applied Engineer jobs in Florida?

For Applied Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Applied Engineer jobs in Florida look for?

The top searched job categories for Applied Engineer jobs in Florida are:

What cities in Florida are hiring for Applied Engineer jobs?

Cities in Florida with the most Applied Engineer job openings:

Applied Engineer jobs near you
Infographic showing various Applied Engineer job openings in Florida as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $73,189 per year, or $35.2 per hour.

Applied AI Field Engineer

Trilon

Orlando, FL • On-site

Full-time

Re-posted 3 days ago

Job description

Trilon is building a supercharged, technology-enabled future for our people and partners. The Applied AI Engineer plays a critical role in that mission by building the AI-powered features that enable our tools to compress real engineering labor across our operating companies. 
This role sits at the intersection of software engineering and applied AI, focused on designing and implementing the intelligence layer of our products. You translate product requirements and architectural patterns into working AI capabilities by building prompt frameworks, retrieval-augmented generation pipelines, and agent-based workflows that operate against real engineering data and deliverables. 
Working within a product pod, you partner closely with the Lead Engineer, Software Engineer, and QA Engineer to deliver production-ready solutions. You own how the system reasons, including prompt design, context management, model integration, and orchestration logic. You also help define how quality is measured for AI outputs, ensuring tools are accurate, reliable, and usable in real-world workflows. 
You will engage directly with engineers across our operating companies to understand workflows, validate solutions, and iterate quickly based on feedback. You may also participate in field-based project hackathons, embedding with teams to identify high-impact opportunities and rapidly prototype solutions that inform platform development. 
This role requires strong software engineering fundamentals, deep hands-on experience with modern AI tooling, and the ability to operate in a fast-moving environment where both the technology and the product are evolving. You are comfortable with ambiguity, rigorous about output quality, and focused on delivering AI that engineers trust and use. 
AI Application Development
  • Design and build AI-powered features using large language models and related tooling 
  • Develop and maintain prompt architectures that drive consistent, high-quality outputs 
  • Implement retrieval-augmented generation pipelines using enterprise data sources 
  • Build and orchestrate agent-based workflows to automate targeted tasks 
Model Integration and System Behavior 
  • Integrate LLM APIs such as Anthropic Claude and OpenAI into production systems 
  • Design context management strategies to ensure outputs are grounded, relevant, and accurate 
  • Manage tradeoffs across latency, cost, and performance in AI workflows 
  • Continuously improve system behavior through prompt iteration and architecture refinement
Pod Collaboration and Delivery 
  • Partner with Software Engineers to integrate AI capabilities into applications, APIs, and user interfaces 
  • Align with the Lead Engineer on technical direction, architecture, and implementation decisions 
  • Work with QA Engineers to define evaluation criteria, testing strategies, and quality thresholds for AI outputs 
  • Translate product requirements into scalable, production-ready AI solutions 
Evaluation and Quality Optimization 
  • Define and implement approaches for evaluating non-deterministic AI outputs 
  • Build test cases, benchmarks, and evaluation pipelines to track output quality over time 
  • Identify failure modes and iterate on prompts, pipelines, and orchestration logic 
  • Ensure consistency and reliability as models, prompts, and data sources evolve 
Continuous Improvement and Innovation 
  • Stay current with advancements in LLMs, vector databases, and agent frameworks 
  • Experiment with new tools and techniques to improve speed, quality, and capability 
  • Contribute reusable patterns, components, and best practices across pods 

  • 4+ years of experience in software engineering, applied AI, or machine learning development 
  • Strong programming skills in Python and/or JavaScript 
  • Hands-on experience working with LLM APIs such as Anthropic Claude, OpenAI, or similar 
  • Experience designing and implementing prompt architectures and prompt engineering techniques 
  • Experience building retrieval-augmented generation pipelines and working with vector databases 
  • Familiarity with agent orchestration frameworks and multi-step AI workflows 
  • Experience integrating AI capabilities into applications via APIs and backend systems 
  • Strong understanding of handling structured and unstructured data in AI systems 
  • Ability to evaluate, debug, and improve non-deterministic AI outputs 
  • Experience working in a fast-paced, product-oriented development environment 
  • Strong problem-solving skills and ability to operate in ambiguous, evolving contexts 
  • Ability to collaborate closely with engineers, product managers, and QA within a pod structure 
  • Excellent communication skills and ability to explain technical concepts clearly 
  • Curiosity and willingness to learn domain-specific workflows, particularly within engineering and AEC contexts

Apply