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AI Developer

Egnite HR LLCJuno Beach, FL🇺🇸United StatesPosted Sep 29, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Juno Beach, FL, United States
Posted
19 hours ago
AWSMachine LearningScikit-learnAzureGenerative AIGitPyTorchPythonRESTTensorFlow

Job Description

Title: AI Developer 

Location: Juno Beach FL 

Duration- 6 Months (Contract to hire) 

W2 only

We are seeking a motivated and innovative AI Developer I Contractor to support the design, development, testing, and deployment of AI-powered solutions. The contractor will work alongside internal AI engineers, software developers, data scientists, and business stakeholders to deliver intelligent applications, automation capabilities, and AI-driven business solutions that support strategic initiatives.
The ideal candidate will possess strong Python development skills, experience working 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, and deployment of solutions using AI.
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 in the integration of AI capabilities with 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 to 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 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 implementation of 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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