Senior AI Software Engineer

Hybrid in Kissimmee, FL, US • Posted 17 hours ago • Updated 17 hours ago
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Privacy
  • Google Cloud
  • Large Language Models (LLMs)
  • Rapid Prototyping
  • Software Architecture
  • Microsoft Azure
  • Orchestration
  • Productivity
  • Programming Languages
  • Google Cloud Platform
  • JavaScript
  • Kubernetes
  • Machine Learning (ML)
  • Development Testing
  • Generative Artificial Intelligence (AI)
  • Java
  • Software Design
  • Software Engineering
  • Technical Drafting
  • Testing
  • TypeScript
  • Cloud Computing
  • Communication
  • Data Processing
  • Debugging
  • Unstructured Data
  • AngularJS
  • Application Development
  • Artificial Intelligence
  • Build Tools
  • Amazon Web Services
  • Use Cases
  • Version Control
  • Workflow
  • Docker
  • Access Control

Summary

Software Resources has an immediate, long term contract job opportunity for a Senior AI Software Engineer with a major corporation in Celebration, FL. Onsite 2 days per week (Wednesday-Thursday); subject to change.

Job Description:
We are seeking an experienced software engineer contractor to help design, build, and scale AI-enabled applications, automations, and platform capabilities across enterprise systems and workflows. This role is ideal for a hands-on engineer who can move quickly, write high-quality production code, and apply modern AI patterns in
practical business contexts.
The contractor will partner with technical and business stakeholders to deliver solutions that improve internal productivity, streamline processes, enhance user experiences, and accelerate delivery. The ideal candidate combines strong software engineering fundamentals with experience building integrations, services, and intelligent workflows using contemporary AI tools and platforms.

Key Responsibilities:
• Design, develop, test, and deploy scalable software solutions that support business and operational priorities
• Build AI-enabled applications and services using large language models, orchestration frameworks, APIs, and enterprise data sources
• Develop backend services, system integrations, and workflow automations across internal platforms
• Translate business needs into technical designs and working software
• Rapidly prototype new capabilities, then harden successful concepts for production use
• Build tools that support use cases such as summarization, intelligent search, content generation, workflow assistance, classification, and recommendations
• Integrate AI capabilities responsibly with appropriate controls for quality, security, privacy, and observability
• Partner with product managers, analysts, architects, and business stakeholders to define requirements and solution approaches
• Create clean, maintainable, well-documented code and participate in code reviews and technical design discussions
• Troubleshoot issues across development, test, and production environments
• Contribute to engineering standards, reusable components, and best practices for AI-enabled application development

Required Qualifications:
• Strong software engineering experience building and supporting production applications
• Proficiency in one or more modern programming languages such as Java, TypeScript, JavaScript, or Dart
• Experience building and consuming REST APIs and integrating with enterprise systems
• Experience with cloud platforms and modern application architecture patterns
• Hands-on experience with AI/ML or generative AI application development
• Experience working with large language model APIs, prompt design, and structured output patterns
• Strong understanding of software design, testing, debugging, version control, and deployment practices
• Experience with data processing, transformation, and working with structured and unstructured data
• Ability to work independently in a fast-paced environment and deliver high-quality outcomes with limited oversight
• Strong written and verbal communication skills

Preferred Qualifications:
• Experience building enterprise AI applications such as employee-facing assistants, document Q&A tools, search experiences, or workflow automation solutions
• Experience with cloud-native services in AWS, Azure, or Google Cloud
• Experience with containerization and deployment technologies such as Docker and Kubernetes
• Familiarity with front-end frameworks such as Flutter or Angular
• Understanding of secure development practices, access controls, and enterprise governance requirements
• Experience operating in large, matrixed enterprise environments

Desired Traits:
• Practical and delivery-oriented, with a strong bias toward execution
• Comfortable navigating ambiguity and refining requirements through iteration
• Able to balance rapid prototyping with long-term maintainability
• Thoughtful about where AI adds value and where conventional software patterns are more appropriate
• Strong collaborator who can work effectively across technical and non-technical teams

Required Education:
Bachelor''s

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: srifl
  • Position Id: 26-00403
  • Posted 17 hours ago
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