Top 3 software engineer .net/ai developer Jobs in naples fl

Software Engineer .Net/AI Developer
Optivate Health, LLC —Bonita Springs, FL
- Full-time
- Azure
- System design
- HIPAA
Quick Apply
QA Engineer (Remote)
Vector Airport Systems —United States
- $80,000 - $100,000 a year
- Full-time
- Remote
- Background check
- Azure
- 3 years
- AD&D insurance
- Disability insurance
5d
Automation Engineer
Brook & Whittle Limited —United States
- Full-time
- Remote
- Azure
- Computer Science
- Engineering
- Opportunities for advancement
14d

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Software Engineer .Net/AI Developer

Optivate Health, LLC
Bonita Springs, FL

Quick Apply

Job Details

Full-time

Qualifications

AI models
Search engines
Systems integration
Software engineering
CSS
.NET Core
Data structures
Testing and evaluation
System design
Agile scheduling
Git
AI platforms (beyond public GPTs)
System design for system development
Production systems
Machine learning cloud services
Collaboration with product development teams
Machine intelligence
Model deployment
Version control systems
Developing large-scale AI models
Natural language processing
Data pipelines
Developing and maintaining backend systems
Integration with Third-Party Services (system development)
Digital project management boards
Engineering product development
Agile software development
Model training
System deployment
Front-end component implementation

Full Job Description

About Optivate

Optivate is a leading provider of healthcare technology software solutions purpose-built for ophthalmologists and eye care specialists. The company's solutions, which include EMR, practice management, patient engagement, image management, and RCM and billing services are designed to streamline clinical documentation workflows and improve daily practice efficiencies for eye care professionals.

**Applicants must be local OR be willing to relocate to the Bonita Springs area within a reasonable time frame following their start date.

Position Summary

AI-native Software Engineer with hands-on experience delivering real-world AI-powered products.

This role is ideal for a mid-level developer who:

Has contributed to 3–5 production AI projects
Understands how to move AI systems from prototype to secure, scalable healthcare applications

You will:

Design and ship AI-driven features across our ophthalmology platform
Work with third-party LLM integrations
Develop custom ML models
Build domain-specific enhancements using clinical data

This is not a research-only role. We are looking for someone who has built, integrated, evaluated, and deployed AI systems in production environments.

What You’ll Do:

Develop and maintain backend services and APIs using .NET/C# (.NET Core, .NET 8+)
Build responsive, user-friendly interfaces using HTML/CSS
Design AI-enabled workflows that integrate safely into clinical software
Collaborate with product, clinical, and engineering teams
Establish and participate in code review processes
Work within an agile framework, contributing to:
- Sprint planning
- Daily standups
- Retrospectives
Write clean, maintainable, testable code
Troubleshoot distributed systems and AI pipelines
Contribute to architectural decisions around AI infrastructure and model evaluation

AI & Machine Learning Responsibilities:

Design and implement production-grade AI services
Integrate third-party LLMs:
- OpenAI
- Anthropic
- Azure OpenAI
- Hugging Face
Build and fine-tune ML models:
- NLP
- Structured data models
- Computer vision (where appropriate)
Enhance foundation models using:
- RAG
- Fine-tuning
- Embeddings
- Adapters
Design evaluation frameworks to measure:
- Accuracy
- Reliability
- Hallucination rates
- Clinical relevance
Implement retrieval pipelines using vector databases
Develop prompt engineering strategies with testing and versioning
Optimize model performance, latency, and cost
Contribute to reinforcement learning or simulation experimentation (Gymnasium a plus)
Collaborate on model deployment, monitoring, and drift detection

Required Qualifications:

3–7 years of professional software development experience
Hands-on contribution to 3–5 AI/ML production or near-production projects
Experience integrating LLM APIs into real systems
Experience building or fine-tuning ML models
Experience working with structured and unstructured datasets
Strong understanding of model evaluation and production tradeoffs
Experience with cloud platforms (AWS, Azure, or GCP)
Solid foundation in:
- Data structures
- Algorithms
- APIs
- Distributed system design

Technical Experience:

Backend

Strong experience with .NET/C# (.NET Core and/or .NET 8+)

Frontend

Proficiency in HTML/CSS

AI/ML

PyTorch
TensorFlow
Scikit-learn (or similar frameworks)

Data

Embeddings
Vector databases (Pinecone, FAISS, Weaviate)
Semantic search

Cloud & DevOps

Deploying AI services using containers, serverless, or managed ML services

Team & Process Experience:

Experience working in collaborative environments with exposure to:

Git version control and branching strategies
Agile methodologies (Scrum/Kanban)
Task/story management tools
Code reviews
Architectural discussions
Cross-functional collaboration

Mindset & Collaboration:

AI-native mindset (data, models, feedback loops, iteration)
Pragmatic builder who understands production constraints
Comfortable with ambiguity in emerging AI spaces
Strong communicator, especially explaining AI tradeoffs
Motivated to apply AI in healthcare where safety and reliability matter

Nice to Have:

Computer vision experience (especially medical imaging)
Experience with clinical or regulated datasets (HIPAA familiarity)
MLOps experience:
- Model versioning
- Experiment tracking
- Monitoring
- CI/CD for ML
Experience with Gymnasium or reinforcement learning
Designing AI evaluation benchmarks
Understanding OAuth and systems integration patterns
Experience with RESTful API design
Knowledge of SQL Server and Entity Framework

What We Offer:

Opportunity to build real-world AI products in healthcare
Ownership over meaningful AI initiatives
Join a growing team at an exciting inflection point
Collaborative environment where your architectural input matters
Exposure to diverse AI approaches:
- LLM integration
- Custom ML
- Retrieval systems
- Domain-adapted models
Professional development opportunities
Work on challenging, mission-driven problems

Our Ideal Candidate

You’ve shipped AI features that users rely on.

You understand:

Model limitations
Evaluation tradeoffs
Production constraints

You are:

Curious
Technically rigorous
Thoughtful about AI application in healthcare

Quick Apply

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software engineer .net/ai developer jobs in naples fl

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QA Engineer (Remote)

Automation Engineer

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