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Remote Junior Ai Developer Jobs in Florida (NOW HIRING)

ARC Group

Sr AI Developer

Jacksonville, FL · On-site +1

$50.50 - $66.75/hr

Senior AI Developer AWS / Agentic AI / Intelligent Document Processing Jacksonville, FL | 100% Remote ARC Group is recruiting for a Senior AI Developer with a Fortune 500 company headquartered in

New

YO AI Labs

AI Engineer - Remote

Miami, FL · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating

YO AI Labs

AI Consulting Expert - Remote

Miami, FL · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their consulting expertise

Phsorg

$87K - $149K/yr

Location Address: 9521 San Mateo NE Albuquerque, NM 87113-2237 Compensation Pay Range: Minimum Offer $87,526.40 Maximum Offer $149,032.00 Now Hiring: Remote AI Automation Developer Summary: Build

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Remote Junior Ai Developer information

What is a remote junior AI developer?

A Remote Junior AI Developer is an entry-level professional who works from a location outside of the traditional office, focusing on developing and maintaining artificial intelligence systems and applications. Their responsibilities typically include assisting with model training, data preprocessing, and implementing basic machine learning algorithms under the guidance of senior team members. This role is ideal for those starting their career in AI and offers flexibility to work from anywhere while gaining practical experience in the field. Strong programming skills, especially in languages like Python, and a foundational understanding of AI concepts are usually required.

What are the key skills and qualifications needed to thrive as a remote junior AI developer?

To thrive as a Remote Junior AI Developer, you generally need a solid understanding of programming languages like Python, machine learning fundamentals, and a relevant degree or coursework in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Git, and cloud platforms, along with basic knowledge of version control and collaborative coding systems, is typically expected. Strong problem-solving abilities, effective written communication, and a proactive attitude are valuable soft skills for remote collaboration and growth. These competencies are crucial for delivering high-quality AI solutions, learning efficiently, and working successfully within distributed development teams.

What are some common challenges faced by remote junior AI developers, and how can they overcome them?

Remote junior AI developers often face challenges such as limited direct mentorship, difficulty in collaborating across time zones, and staying updated with rapidly evolving AI technologies. To overcome these, it's helpful to proactively seek regular feedback from senior developers, participate in virtual team meetings, and engage in online AI communities. Utilizing project management tools and setting clear communication routines can also foster better teamwork and continuous learning in a remote environment.

What is the difference between Remote Junior Ai Developer vs Remote Data Analyst?

AspectRemote Junior Ai DeveloperRemote Data Analyst
Required CredentialsBasic programming skills, knowledge of AI/ML concepts, possibly a related degreeStatistical or analytical degree, proficiency in data tools and SQL
Work EnvironmentCollaborative teams, AI/ML projects, coding and model trainingData interpretation, reporting, data visualization tasks
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, and other data-driven industries
Common Search & Comparison IntentUnderstanding entry-level AI roles, career path optionsComparing data analysis roles, skill requirements

The Remote Junior Ai Developer focuses on building and training AI models, requiring programming and AI knowledge. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and visualizations. Both roles often work remotely in tech-driven industries but differ in technical focus and daily tasks.

What are popular job titles related to Remote Junior Ai Developer jobs in Florida?

For Remote Junior Ai Developer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Remote Junior Ai Developer jobs in Florida look for?

The top searched job categories for Remote Junior Ai Developer jobs in Florida are:

What cities in Florida are hiring for Remote Junior Ai Developer jobs?

Cities in Florida with the most Remote Junior Ai Developer job openings:

Remote Junior Ai Developer jobs near you
Infographic showing various Remote Junior Ai Developer job openings in Florida as of September 2026, with employment types broken down into 56% Internship, and 44% Full Time. Highlights an 100% Remote job distribution.

Sr AI Developer

Jacksonville, FL • On-site, Remote

ARC Group
11 - 50 employees
Learn more about ARC Groupexternal

$50.50 - $66.75/hr

Full-time

Posted 3 days ago

New

Job description

Senior AI Developer AWS / Agentic AI / Intelligent Document Processing
Jacksonville, FL | 100% Remote
ARC Group is recruiting for a Senior AI Developer with a Fortune 500 company headquartered in Jacksonville, Florida. This is an opportunity to help build the next generation of intelligent unstructured data management and Intelligent Document Processing (IDP) solutions at enterprise scale.
This is a highly technical, hands-on role for an experienced AI/software engineer who can design, develop, and deploy cloud-native AI solutions across the full development lifecycle.
About the Role
You will work at the intersection of AI engineering, backend development, cloud architecture, and enterprise data management to deliver transformative solutions for unstructured data.
The environment includes AWS, Amazon Bedrock, S3, Snowflake, AgentCore, LangGraph, MCP, A2A frameworks, vector databases, and workflow orchestration technologies.
The ideal candidate has actually built and deployed production AI solutions and can connect modern AI capabilities with enterprise-grade backend services, data platforms, security, and workflow automation.
Key Responsibilities
  • AI & Intelligent Document Processing: Design and develop AI-powered solutions that ingest, classify, extract, enrich, and route information from unstructured documents and data.
  • Agentic AI Development: Build and integrate autonomous AI agents using technologies such as AWS AgentCore, LangGraph, MCP, and A2A frameworks.
  • AWS Cloud Architecture: Develop secure, scalable cloud-native solutions using AWS, S3, compute services, networking, and Amazon Bedrock.
  • Backend Development: Build production-grade APIs, microservices, synchronous/asynchronous services, and event-driven applications.
  • Workflow Orchestration: Design and implement reliable, auditable workflows using AWS Step Functions, Airflow, Temporal, or comparable orchestration technologies.
  • Data & AI Platforms: Develop solutions leveraging Snowflake, vector databases, RAG architectures, and enterprise data pipelines.
  • LLM & Foundation Models: Apply LLMs, foundation models, prompt engineering, embeddings, retrieval, and other modern AI techniques.
  • Data Governance & Security: Implement data cataloging, lineage, retention, protection, and governance practices with a strong focus on security and HIPAA compliance.
  • Enterprise Integration: Develop solutions integrating AI agents, automation platforms, data services, and downstream enterprise applications.
  • Collaboration & Mentorship: Work with data engineers, architects, platform teams, and business stakeholders while mentoring junior engineers.
Required Qualifications
  • 5+ years of professional software development experience, including at least 2 years focused on AI/ML, generative AI, or data engineering in production environments.
  • Strong experience developing backend services, APIs, microservices, or event-driven applications.
  • Hands-on experience with AWS, including S3 and EC2 or comparable AWS compute services.
  • Experience with Snowflake or a comparable modern cloud data platform.
  • Production experience with AI/ML development and deployment, including LLMs, foundation models, prompt engineering, RAG, and agentic AI.
  • Experience with workflow orchestration using AWS Step Functions, Apache Airflow, Temporal, or similar technologies.
  • Strong understanding of data modeling, data pipelines, data quality, and data governance.
  • Experience with CI/CD, automated testing, code reviews, security, and production support.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience.
Technology Must-Haves
Hands-on professional experience with the following technologies is strongly preferred:
  • AWS
  • Amazon S3
  • Amazon Bedrock
  • AWS AgentCore
  • MCP (Model Context Protocol)
  • A2A / Agent-to-Agent Frameworks
  • Vector Databases
  • Snowflake
  • Workflow Orchestration / Workflow Development
  • LLMs / Generative AI
  • RAG / Retrieval-Augmented Generation
  • Backend/API Development
Preferred Qualifications
  • Direct experience developing Intelligent Document Processing (IDP) solutions.
  • Experience with OCR, ICR, NLP, information extraction, document classification, or document understanding.
  • Hands-on experience with AWS Bedrock, Claude, AgentCore, LangGraph, or similar technologies.
  • Experience implementing MCP and A2A integration patterns.
  • Experience designing and implementing RAG and vector-search solutions.
  • Experience with unstructured data platforms and enterprise AI solutions.
  • Healthcare industry experience, particularly working with HIPAA-regulated data.
  • Experience integrating AI solutions into enterprise workflow and automation platforms.
  • Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
What We're Looking For
We are looking for a hands-on Senior AI Developer, not simply a traditional software engineer who has experimented with generative AI tools.
The strongest candidates will have production experience building AI solutions and can demonstrate the ability to connect:
  • LLMs / Agents + AWS + Bedrock + Snowflake + Vector Databases + Workflow Orchestration + Backend Services
  • into secure, scalable enterprise applications.
  • Candidates with direct experience in AgentCore, MCP, A2A, Bedrock, Snowflake, S3, and vector databases will be especially valuable.
Work Experience
5+ years of related professional experience, including technical design and hands-on software development within the IT industry.
Education
Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience.
Work Authorization & Location
  • Work Authorization: U.S. Citizen or Green Card holder only. No C2C.
  • Time Zone: Candidates must be located in the Eastern Time Zone or Central Time Zone. Eastern Time Zone candidates are preferred.
  • Recruiter Submissions: No third-party recruiters or recruiter-represented candidates will be accepted.