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Software Engineer Ai Remote Jobs in Florida (NOW HIRING)

Kubikware

AI Engineer (Latam, Remote)

Aventura, FL · On-site +1

We are looking for: * 4+ years of experience in Software Engineering, AI Integrations, Automation ... Fully remote position (LATAM) * Full-time position * Opportunity to work on cutting-edge AI ...

Kubikware

AI Engineer (Latam, Remote)

Miami, FL · Remote

We are looking for: * 4+ years of experience in Software Engineering, AI Integrations, Automation ... Fully remote position (LATAM) * Full-time position * Opportunity to work on cutting-edge AI ...

Boats Group

AI Software Engineer

Miami, FL · On-site +1

AI Software Engineer Miami (Hybrid) About our crew Boats Group is the leading digital marketplace ... Embrace a balanced work model with remote work on Mondays and Fridays and in-office collaboration ...

Epiq

Software Engineer

Tampa, FL · Remote

Epiq is seeking a highly skilled AI Software Engineer to join our Operations Engineering team. This ... LI-Remote The Compensation range for this role is 110,000 to 160,000 USD annually and may be ...

Versant Media

Sr. Software Engineer

Orlando, FL · Remote

$114K - $150K/yr

Experience leveraging AI-assisted development tools or integrating AI/ML capabilities into products ... Understanding of the mindset of "Fail Fast, Learn Fast" and continuous improvement Fully Remote ...

Versant Media

Senior Software Engineer

Orlando, FL · Remote

$114K - $150K/yr

Experience leveraging AI-assisted development tools or integrating AI/ML capabilities into products ... Understanding of the mindset of "Fail Fast, Learn Fast" and continuous improvement Fully Remote ...

Cybercoders

Senior Software Engineer

Miami, FL · Remote

$150K - $225K/yr

Senior Software Engineer Senior Software Engineer (Backend / Platform) Remote| $150K-$225K Base ... Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual ...

Hopper

$117K - $154K/yr

About the Role As a Software Engineer on the Fintech Foundation team, you will design, build, and ... REMOTE

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Software Engineer Ai Remote information

How does a remote Software Engineer specializing in AI typically collaborate with cross-functional teams?

As a remote Software Engineer focused on AI, you'll frequently collaborate with data scientists, product managers, and other engineers through digital platforms. Daily interactions often involve virtual stand-ups, code reviews, and shared documentation to ensure alignment on project goals and timelines. Effective communication and proactive updates are crucial, as much of the teamwork happens asynchronously. You'll also participate in brainstorming sessions and sprint planning to integrate AI solutions that meet both business and technical requirements.

What does a Software Engineer AI (Remote) do?

A Software Engineer AI (Remote) is responsible for designing, developing, and implementing artificial intelligence algorithms and systems while working from a remote location. They collaborate with teams to build machine learning models, integrate AI solutions into products, and ensure the scalability and reliability of AI-driven applications. In addition to coding and model training, they may also work on data preprocessing, deployment, and performance monitoring—all while communicating effectively with team members using digital tools.

What are the key skills and qualifications needed to thrive as a Software Engineer AI (Remote), and why are they important?

To thrive as a Software Engineer AI (Remote), you need a strong background in computer science, programming (Python, Java, C++), machine learning principles, and typically a degree in a related field. Familiarity with deep learning frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and version control systems (Git) is commonly required, along with relevant certifications. Excellent problem-solving, self-motivation, and clear communication are vital soft skills, especially for remote collaboration. These skills ensure you can develop effective AI solutions, work autonomously, and contribute meaningfully to distributed teams.

What is the difference between Software Engineer Ai Remote vs Data Scientist Ai Remote?

AspectSoftware Engineer Ai RemoteData Scientist Ai Remote
Required CredentialsBachelor's in CS or related field, programming skills, AI/ML knowledgeBachelor's or higher in CS, Statistics, or related, strong analytical skills
Work EnvironmentRemote, collaborative teams, software development lifecycleRemote, data analysis, model building, data visualization
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for AI roles involving coding and software developmentCompared for roles focusing on data analysis and model deployment

While both roles work remotely and involve AI, Software Engineer Ai Remote primarily focuses on developing AI software and applications through coding, whereas Data Scientist Ai Remote emphasizes analyzing data, building models, and deriving insights. The choice depends on whether you prefer software development or data analysis within the AI field.

What are popular job titles related to Software Engineer Ai Remote jobs in Florida? For Software Engineer Ai Remote jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Software Engineer Ai Remote jobs in Florida look for? The top searched job categories for Software Engineer Ai Remote jobs in Florida are:
What cities in Florida are hiring for Software Engineer Ai Remote jobs? Cities in Florida with the most Software Engineer Ai Remote job openings:
Software Engineer Ai Remote jobs near you
Senior Software Engineer, AI Platform

Senior Software Engineer, AI Platform

Fortress Information Security

Orlando, FL • On-site, Remote

$140K - $223K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Job description

Senior Software Engineer - AI Platform
Location: Remote
Salary Range: $140,541- $223,212, per year, depending on experience and qualifications.
Employment Type: Full-time
Fortress Information Security does not provide employment-based visa sponsorship, now or in the future, for this position.

What you can expect as a Senior Software Engineer - AI Platform at Fortress:
Fortress Information Security is seeking a Senior Software Engineer, AI Platform to help build the foundational AI platform powering intelligent workflows across Fortress products and services. This role focuses on designing and operating the orchestration, retrieval, execution, and platform infrastructure required to support scalable, secure, and reliable AI systems in highly regulated environments.
The ideal candidate brings strong distributed systems and backend engineering experience combined with hands-on experience building production-grade AI infrastructure, orchestration systems, or retrieval platforms. This individual will work across platform, infrastructure, and application layers to help establish the technical foundation for Fortress’s AI strategy.
This role is well-suited for engineers who enjoy solving complex systems problems involving long-running stateful workflows, multi-store retrieval architectures, event-driven systems, observability, and secure multi-tenant infrastructure. Please note: This role is built for a true, current senior engineer. Someone who hits the ground running, drives decisions independently, and raises the bar for the team from day one.


Responsibilities Include:
  • Design, build, and operate orchestration frameworks supporting long-running, stateful AI workflows and agent execution systems
  • Develop distributed retrieval architectures spanning vector, graph, search, and relational data platforms
  • Build shared platform services, reusable runtime components, and tool registries supporting AI capabilities across Fortress products
  • Implement resilient event-driven and change-data-capture (CDC) pipelines with strong consistency, retry, and fault-tolerance guarantees
  • Develop typed APIs and integration contracts supporting AI workflows and platform interoperability
  • Improve scalability, performance, reliability, and operational efficiency across orchestration and retrieval infrastructure
  • Support secure multi-tenant deployments across cloud, hybrid-cloud, and air-gapped environments
  • Build and maintain observability, telemetry, tracing, centralized logging, governance, and policy enforcement tooling
  • Contribute to engineering standards and architectural patterns for orchestration, retrieval, and platform infrastructure
  • Collaborate cross-functionally with platform engineering, product engineering, security, and AI teams to support platform adoption and operational excellence
  • Participate in troubleshooting, incident response, root cause analysis, and operational support activities related to platform infrastructure
  • Continuously evaluate emerging technologies, tooling, and engineering practices relevant to AI infrastructure and distributed systems
Minimum Qualifications:
  • 6+ years of experience in backend, platform, or infrastructure engineering building production distributed systems
  • Strong Python development experience including asynchronous systems, API design, and typed architectures
  • Experience designing and operating scalable distributed or service-oriented systems in production environments
  • Hands-on experience building or operating AI infrastructure, orchestration systems, retrieval platforms, or modern RAG architectures in production
  • Strong understanding of distributed systems concepts including queues, event streams, retries, consistency models, concurrency, and fault tolerance
  • Active daily use and fluency with AI-assisted engineering workflows and agentic development tooling such as Claude Code, Cursor, or similar platforms, including effective use of LLMs throughout software design, implementation, debugging, and operational workflows.
  • Strong written and verbal communication skills with the ability to collaborate effectively across technical teams
  • Ability to operate independently in fast-moving, highly technical environments with evolving priorities
Preferred Qualifications:
  • Experience with orchestration and workflow frameworks such as LangGraph, Temporal, Celery, or similar technologies
  • Experience with vector databases, graph databases, search platforms, and modern retrieval architectures involving embeddings, hybrid search, reranking, or knowledge graph traversal
  • Experience with event-driven architectures, CDC pipelines, or streaming platforms such as Kafka, Pulsar, or pg-boss
  • Experience with observability and telemetry tooling such as OpenTelemetry, Prometheus, Grafana, or centralized logging platforms
  • Experience deploying and operating systems within regulated, high-security, hybrid-cloud, or air-gapped environments
  • Familiarity with secure software supply chain practices, signed artifact distribution, and multi-tenant platform isolation strategies
  • Contributions to internal developer platforms, reusable infrastructure tooling, or shared engineering frameworks
  • Experience mentoring engineers and contributing to engineering standards and architectural best practices
Education:
  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field preferred. Equivalent combinations of professional experience, technical training, certifications, or demonstrated expertise will also be considered.

Who thrives in this Role:

This team moves fast, operates with high autonomy, and builds things that don't exist yet. Engineers who do well here are genuinely deep in AI infrastructure, treat AI-assisted development as a core skill they're actively improving, and prefer building over debating. They own their outcomes without being pushed and find constrained, regulated environments interesting rather than frustrating.

If you've been building in this space on your own time and want to work somewhere that takes it seriously, this role is for you.

This role is not for you if...
  • You're drawn to AI but haven't actually built anything in the space.
  • You treat AI development tools as a novelty rather than a daily practice.
  • You do your best work with clear roadmaps, stable requirements, and plenty of process.
  • You want to architect and delegate rather than write the code yourself.
  • You need direction to get moving.
Employee Benefits:
  • Remote and Hybrid working environment
  • Competitive pay structure
  • Medical, dental, vision plans with employees covered up to 90% with highly progressive options for dependents and families
  • Company paid life, short- and long-term disability insurance
  • Employee Assistance Program
  • 401(k) match
  • Flexible Paid Time Off
  • Parental Leave
  • Access to thousands of Learning amp; Development courses that range from mental health and wellbeing, stress, and time management to an array of technical and business-related courses
Employment Perks:
  • We provide each employee with professional growth opportunities through succession planning, up-skilling, and certifications
  • Tuition and certification reimbursement
  • Employee Referral Programs
  • Company Sponsored Events
​Fortress is proud to be an Equal Opportunity Employer. All employees and applicants will receive consideration for employment without regard to age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. Fortress Information Security takes part in the E-Verify process for all new hires.

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will have to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

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