AI Developer

Location: Juno Beach, FL – Onsite

Duration: 12-Month Contract

Pay Range: $61.50–$66.50/hr

Position Overview

We are seeking a motivated and innovative AI Developer I to support the design, development, testing, and deployment of AI-powered solutions. The contractor will work alongside AI engineers, software developers, data scientists, and business stakeholders to deliver intelligent applications, automation capabilities, and AI-driven business solutions supporting strategic initiatives.

The ideal candidate will have strong Python development skills, experience with modern AI technologies, and the ability to quickly learn business processes while contributing to enterprise AI projects.

Key Responsibilities

• Assist in the design, development, testing, and deployment of AI-powered solutions.
• Support data preparation, cleansing, transformation, and feature engineering activities.
• Develop, test, and maintain AI-driven application features and machine learning models.
• Build proof-of-concepts and production-ready solutions utilizing:
  • Generative AI
  • Agentic AI systems
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
• Implement algorithms using industry-standard AI and machine learning frameworks.
• Collaborate with data scientists, software engineers, architects, product owners, and business stakeholders.
• Troubleshoot, debug, and resolve issues within AI solutions and supporting data pipelines.
• Participate in code reviews and follow established development standards and best practices.
• Write clean, maintainable, secure, and well-documented code.
• Support AI model deployment, monitoring, tuning, and lifecycle management.
• Assist with integrating AI capabilities into enterprise applications and cloud platforms.
• Stay current with emerging AI technologies and recommend improvements where appropriate.

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, Information Systems, Artificial Intelligence, or a related technical discipline.
• 0–5 years of experience in software development, AI, machine learning, data science, or related technical roles.
• Strong proficiency in Python.
• Understanding of:
  • Data structures and algorithms
  • Object-oriented programming
  • REST APIs
  • Software development lifecycle methodologies
• Familiarity with machine learning concepts, model development, and model evaluation techniques.
• Exposure to Generative AI, Agentic AI, Large Language Models (LLMs), or AI orchestration frameworks.
• Experience using source control systems such as Git.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to work independently in a fast-paced environment.

Preferred Qualifications

• Experience with one or more of the following:
  • Azure OpenAI
  • OpenAI APIs
  • Anthropic Claude
  • LangChain
  • LangGraph
  • Semantic Kernel
  • CrewAI
  • AutoGen
  • TensorFlow
  • PyTorch
  • Scikit-learn
• Knowledge of vector databases, embeddings, RAG architectures, and AI agents.
• Experience working in AWS or Azure cloud environments.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience integrating AI capabilities into enterprise applications and business workflows.
• Understanding of responsible AI, model governance, and AI security principles.

Desired Contractor Attributes

• Quickly adapts to new technologies and business domains.
• Self-directed and able to work with minimal supervision.
• Strong collaboration skills across technical and business teams.
• Able to deliver high-quality solutions within established timelines.
• Demonstrates curiosity and enthusiasm for emerging AI technologies.

Expected Deliverables

The selected contractor will be expected to:

• Design, develop, and support AI-enabled application features.
• Assist with implementing Generative AI and Agentic AI use cases.
• Produce maintainable, documented, production-ready code.
• Participate in technical design and solution architecture discussions.
• Support testing, validation, deployment, and operational readiness

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