AI/ML Engineer

Axogen, Inc. - Common Stock

Full Timejunior

Tampa, Florida, United StatesPosted February 20, 2026

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PythonJavaSQLAWSGCPAzureDockerKubernetesGitRESTTensorFlowPyTorch

Job Description

Axogen is committed to building and maintaining a strong and gratifying company culture that fosters professional growth. Our hands-on and personal approach makes transitioning to a new job a seamless and enjoyable process. Most benefits are effective on day one!

Axogen is an equal opportunity employer and does not discriminate against applicants on the basis of race, color, creed, religion, ancestry, age, sex, marital status, national origin, disability or veteran status.

Why you’ll love working at Axogen:

Friendly, open, and fun team culture that values unique perspectives
Company-wide dedication to profoundly impacting patients’ lives
Comprehensive, high-quality benefits package effective on date of hire
Educational assistance available for all employees
Matching 401(k) retirement plan
Paid holidays, including floating holidays, to be used at your discretion
Employee Stock Purchase Plan
Referral incentive program

Axogen Mission and Business Purpose

Our business purpose is to restore health and improve quality of life by making restoration of peripheral nerve function an expected standard of care. We aim to lead the markets we serve by always requiring the solutions we offer patients and caregivers provide an improved benefit-to-risk profile as compared to existing standards of care. To ensure we deliver improved benefit-to-risk solutions, we will guide and expect the market and design requirement specifications underlying our engineering, business development, and clinical research activities, objectively target advancements in standards of care.

Job Summary of the AI/ML Engineer

We are seeking an experienced AI Engineer to join our Center of Excellence team, driving the development and implementation of artificial intelligence and intelligent automation solutions across the organization. This role focuses on designing, building, and deploying AI models and RPA solutions while establishing best practices for AI and automation development.

Requirements of the AI/ML Engineer

Required Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or related field
Minimum 3 years of hands-on experience in software development and experience in developing and deploying AI/ML solutions in production environment.
Strong proficiency in Python and AI frameworks (TensorFlow, PyTorch)
Experience with cloud AI platforms (AWS, Azure, or GCP)
Experience with RPA platforms (UiPath, Automation Anywhere, or Power Automate)
Solid understanding of deep learning, neural networks, and AI algorithms
Experience with AI model deployment and containerization (Docker, Kubernetes)
Knowledge of process automation, workflow design, and business process optimization

Preferred Qualifications

Experience with large language models (LLMs) and generative AI
Knowledge of AI model monitoring, governance, and responsible AI practices
Experience with intelligent document processing (IDP) and OCR technologies
Familiarity with process mining tools and automation analytics
Experience building real-time AI systems and APIs
Previous experience in a CoE or platform role
RPA Developer or AI/ML certifications (UiPath, Automation Anywhere, AWS, Azure)

Technical Skills

Programming: Python, SQL, VB.NET/C#/Java
AI/Deep Learning: Neural Networks, NLP, Computer Vision, Generative AI
Frameworks: TensorFlow, PyTorch, OpenAI APIs
RPA Platforms: UiPath, Automation Anywhere, Power Automate
AI Platforms: Azure AI, Google AI Platform
Integration: REST APIs, Webhooks, Message Queues
Tools: Git, Docker, Kubernetes, Orchestrator

Soft Skills

Excellent problem-solving and analytical abilities with process improvement mindset
Strong communication skills to explain AI and automation concepts to non-technical stakeholders
Collaborative mindset with cross-functional team experience
Self-motivated with ability to manage multiple priorities
Passion for continuous learning in AI and automation advancements
Business acumen to identify and quantify automation opportunities

Responsibilities of the AI/ML Engineer

The specific duties of the AI/ML Engineer include but are not limited to:

AI & RPA Solution Development

Design, develop, and deploy AI models and RPA solutions to address complex business challenges
Build and optimize AI pipelines including data preprocessing, model training, and deployment
Develop and maintain intelligent automation workflows using RPA platforms
Implement and maintain scalable AI and RPA infrastructure and frameworks
Integrate AI capabilities with RPA bots for intelligent automation
Conduct experiments to evaluate AI model and automation performance and implement improvements

Support to set CoE Standards

Support leadership to establish and maintain AI and RPA best practices, standards, and governance frameworks
Develop reusable AI and automation components and templates for enterprise-wide use
Create technical documentation and guidelines for AI and RPA development
Support to evaluate and recommend new AI, RPA technologies and platforms
Support to define automation opportunity assessment criteria and prioritization frameworks

Collaboration & Innovation

Partner with stakeholders to identify automation opportunities and deliver AI-powered solutions
Provide technical guidance and mentorship on AI and RPA technologies
Conduct training sessions to build AI and automation capabilities across teams
Stay current with latest AI, RPA research and industry trends
Prototype and evaluate emerging technologies including generative AI, LLMs, and document processing (RAG)

Location

111 West Oak Ave., Tampa, FL 33602

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Benefits/Compensation

This position is eligible for an annual bonus.

Benefits offered for this position include Health, Dental, Vision, Matching 401K, Paid Time Off, 9 Paid Holidays + 3 Floating Holidays, Dependent Care Flexible Spending Accounts, Medical Flexible Spending Accounts, Tuition Reimbursement, Paid Parental Leave, Paid Caregiver Leave, Basic Life Insurance, Supplemental Life Insurance, Employee Stock Purchase Plan, and Disability Insurance, as described in more detail in summary plan descriptions.

Salary Range

$92,293—$115,367 USD

Axogen follows healthcare system guidelines with respect to credentialing, vaccinations and other employment/compliance related requirements, as well as CDC guidance. Axogen reserves the right to amend its policies from time to time in its sole discretion.

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