Top 474 Engineer analyst ai Jobs in Fl

Staff AI Engineer
MLabs —Florida
- $175,000 - $250,000 a year
- Full-time
- Remote
- System design
- Senior level
- Python
Quick Apply
AI Engineer
Hotwire Communications, LTD —Fort Lauderdale, FL
- On call
- Azure
- System design
- AWS
- Paid parental leave
- Paid holidays
Quick Apply
Artificial Intelligence (AI) Engineer
Ascension Federal Services Inc. —Tampa, FL
- Computer Science
- 5 years
- Java
- Health insurance
- 401(k)
Quick Apply
11d
Senior Software Engineer
Lumijes Technologies —Gulf Breeze, FL
- $120,000 - $160,000 a year
- Multiple hires
- Computer Science
- System design
- Master's degree
Quick Apply
Senior Software Engineer
Lumijes Technologies —Gainesville, FL
- $120,000 - $160,000 a year
- Multiple hires
- Computer Science
- System design
- Master's degree
Quick Apply
Mechanical Design Engineer - AI Trainer
DataAnnotation —Tampa, FL
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
Quick Apply
Mechanical Design Engineer - AI Trainer
DataAnnotation —Fort Lauderdale, FL
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
Quick Apply
Mechanical Design Engineer - AI Trainer
DataAnnotation —Jacksonville, FL
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
Quick Apply
11d
SOFTWARE ENGINEER
Syn-Tech Systems, Inc. —Tallahassee, FL
- $60,160.79 - $98,946.33 a year
- Full-time
- Background check
- Computer Science
- System design
- Free parking
- Wellness program
12d
Validation Engineer - AI Trainer
DataAnnotation —Miami, FL
- From $60 an hour
- Part-time
- Remote
- English
- Mid-level
- Bachelor's degree
Quick Apply
11d
Site AI Engineer - Fort Myers, FL
Suffolk Construction Company, Inc. —Fort Myers, FL
- Full-time
- Azure
- Computer Science
- Construction site
- Commuter assistance
- Fuel card
AI & GEO Solutions Engineer
SNI Companies —Winter Garden, FL
- $130,000 - $140,000 a year
- Computer Science
- Research
- Mid-level
Quick Apply
AI and Data Science Engineer III (Secret Clearance Required)
Deloitte —Jacksonville, FL
- $110,700 - $218,300 a year
- Full-time
- Computer Science
- 5 years
- Travel
AI and Data Science Engineer III (Secret Clearance Required)
Deloitte —Miami, FL
- $110,700 - $218,300 a year
- Full-time
- Computer Science
- 5 years
- Travel
AI/ML Engineer
ReturnPro —Aventura, FL
- Full-time
- 5 years
- APIs
- Senior level
Quick Apply
Data & AI Engineer
RevStar —Florida
- Full-time
- Remote
- Computer Science
- 5 years
- System design
- Health insurance
- Dental insurance
Quick Apply
Senior Applied AI Engineer
Humana —Fort Lauderdale, FL
- $142,300 - $195,700 a year
- Full-time
- Remote
- 3 years
- JavaScript
- Travel
- Paid parental leave
- Paid holidays
AI Engineer
Kobie Marketing —Saint Petersburg, FL
- Full-time
- Remote
- Mid-level
- 3 years
- SQL
Quick Apply
Senior AI Developer/Systems Engineer
eMerge Senior Care —Tampa, FL
- $135,000 - $165,000 a year
- Full-time
- Background check
- Computer Science
- HIPAA
- Health insurance
- Dental insurance
Quick Apply
8d
AI Workflow Engineer
Ultimate Knowledge —Florida
- $150,000 - $200,000 a year
- Remote
- System design
- US work authorization
- Senior level
Quick Apply
8d

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engineer analyst ai jobs near fl

Staff AI Engineer

MLabs -
Florida

Quick Apply

Job Details

Full-time
$175,000 - $250,000 a year

Qualifications

AI models
Software engineering
Reinforcement learning
Predictive modeling analysis
Data pipeline automation
Application deployment
Production systems
Model deployment
Distributed systems
Developing large-scale AI models
Model training
System deployment
Machine learning (ML) fundamentals
Predictive analytics projects
Distributed computing
Python
MLOps

Full Job Description

Location: Need to be able to work EST timezone.

Remote | Full-time

Compensation: $175K - $250K

We are hiring on behalf of our client who is developing a cutting-edge autonomous agent runtime focused on high-frequency financial environments. While current agents operate effectively as independent units, the next phase of evolution involves building a sophisticated intelligence layer where the entire fleet learns autonomously from real-time market outcomes.

The Staff AI Engineer will be responsible for moving beyond manual propagation of insights to a system where the fleet gets smarter with every trade. This is a high-stakes production role, not a research position. The feedback loop is immediate and measurable: the work produced either enhances agent profitability or it does not. The successful candidate will own the intelligence layer that turns thousands of daily trading decisions into compounding, autonomous growth.

Key Responsibilities:

Learning & Optimization

Feedback Loop Implementation: Design and implement systems that connect trade outcomes back to strategy improvement, specifically focusing on signal selection, risk parameters, position sizing, and timing.
Evaluation Frameworks: Build frameworks to quantify which signals and market conditions accurately predict profitable trades versus noise.
Automated Strategy Generation: Develop systems to explore new configurations, backtest them against real fleet data, and surface candidates for deployment autonomously.
Market Adaptation: Build mechanisms to detect shifts in market conditions (e.g., trending vs. choppy) and adapt fleet behavior in real-time.

Autonomous Fleet Intelligence

Fleet Monitoring: Create higher-order agents for automated monitoring to catch configuration errors and performance degradation across all concurrent agents.
Performance Attribution: Decompose trades into component drivers—signal accuracy, execution efficiency, and exit timing—to feed insights back into strategy design.
Coordination & Risk: Manage concentration risk and capital allocation across the fleet, balancing the exploration of new approaches with the exploitation of proven strategies.

Model & Inference

Infrastructure Ownership: Transition from external LLM dependence to controlled intelligence, evaluating hosting strategies ranging from proxied external models to fine-tuned, domain-specific models.
Data Capture: Build the telemetry and data capture layer to ensure every decision and outcome is structured and queryable.
Domain-Specific Training: Determine the efficacy of domain-specific training over general-purpose prompting and build the necessary pipelines for implementation.
Inference Optimization: Optimize inference for many concurrent agents, ensuring structured decision outputs and cost-efficiency at scale.

Requirements

Essential Qualifications

Production ML Engineering: Proven experience training, deploying, and maintaining models that run in production and directly impact business outcomes.
Reinforcement/Online Learning: Deep understanding of the practical challenges of learning from real-world outcomes rather than static datasets.
Closed-Loop Systems: A track record of building systems where predictions lead to actions that generate outcomes, which then feed back into improved predictions.
Software Engineering: Proficiency in Python is required, with additional comfort in Go or TypeScript for production services. Experience building data pipelines and distributed systems is essential.

Preferred Experience

Financial ML: Background in signal generation, alpha research, portfolio optimization, or execution.
LLM Specialization: Experience with fine-tuning and serving (PEFT/LoRA, vLLM, TGI) or custom inference pipelines.
Multi-Agent Systems: Experience designing environments where autonomous agents coordinate or learn from one another.
Domain Knowledge: Background in on-chain data, DeFi protocols, or sectors where agents make sequential decisions under uncertainty (e.g., robotics, game AI).

Benefits

Base Salary: $175,000 – $250,000 USD (dependent on location and experience).
Equity: Approximately 1% initial stock grant, with significant valuation growth potential.
Performance Incentives: Eligibility for salary increases and bonuses tied directly to revenue and usage.
Token Participation: Pro-rata participation in the client’s planned 2026 token launch.
Ownership: High-impact role with meaningful upside tied directly to the success of the autonomous fleet.

Interview Process:

Initial Interview: Discussion with the Founder/CEO.
Technical Assessment: A take-home test to evaluate practical application.
Technical Interview: Deep dive into engineering and ML capabilities.
Final Interview: Comprehensive final review.

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing [email protected].

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting [email protected].

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engineer analyst ai jobs in fl

Staff AI Engineer

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Mechanical Design Engineer - AI Trainer

Mechanical Design Engineer - AI Trainer

Mechanical Design Engineer - AI Trainer

SOFTWARE ENGINEER

Validation Engineer - AI Trainer

Site AI Engineer - Fort Myers, FL

AI & GEO Solutions Engineer

AI and Data Science Engineer III (Secret Clearance Required)

AI and Data Science Engineer III (Secret Clearance Required)

AI/ML Engineer

Data & AI Engineer

Senior Applied AI Engineer

AI Engineer

Senior AI Developer/Systems Engineer

AI Workflow Engineer

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