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Ai Algorithm Engineer Jobs in Florida (NOW HIRING)

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

... AI/ML Engineer specializing in Large Language Models (LLMs) to join our team. You will play a key ... building scalable algorithms, conducting research on neural networks, and evaluating model ...

BAE Systems

IT Sys Arch Sr Prin

Fort Walton Beach, FL · On-site

$108K - $184K/yr

We are looking for a skilled AI/ML Engineer with 8+ years of professional experience in building and deploying machine learning algorithms, with a focus on AI/ML and large language models. The ...

Cotality

Principal Software Engineer (Python)

Sunrise, FL · On-site +1

$128K - $172K/yr

Develop High-Performance AI Services: Utilize Git or similar, Unix command line, Python, FastAPI ... Apply Advanced Algorithms: Utilize specialized algorithms for Entity Disambiguation and Ontology ...

Rose International

Senior AI ML Python Developer

Tampa, FL · On-site

$110K - $148K/yr

Rich understanding of LLMs, vector stores, and search algorithms. Experience with AI/ML/GenAI ... We are seeking a highly experienced and self-driven AI/ML Lead Engineer to join our growing team.

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Ai Algorithm Engineer information

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Florida? For Ai Algorithm Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Florida look for? The top searched job categories for Ai Algorithm Engineer jobs in Florida are:
What cities in Florida are hiring for Ai Algorithm Engineer jobs? Cities in Florida with the most Ai Algorithm Engineer job openings:
Ai Algorithm Engineer jobs near you

Software Engineer .Net/AI Developer

Optivate

Bonita Springs, FL • On-site

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Optivate is a leading provider of healthcare technology software solutions focused on ophthalmologists and eye care specialists. They are hiring a full-stack .NET engineer who is AI-native to design and ship AI-driven features across their ophthalmology platform, integrating AI capabilities while ensuring production quality.
Responsibilities:
• 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
• Design, build, and maintain full-stack features across our ophthalmology platform — backend services and APIs in .NET/C# (.NET Core, .NET 10) and responsive frontend interfaces in HTML/CSS
• Use AI-native and agentic development workflows (e.g., Cursor multi-agent pipelines for decomposition, architecture, implementation, QA, and review) to move quickly while keeping code clean and reliable
• Design and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software
• Troubleshoot and improve distributed systems
• Establish and participate in code review processes
• Work within an agile framework, contributing to: + Sprint planning + Daily standups + Retrospectives
• Write clean, maintainable, testable code, and establish and participate in code review
• Collaborate across product, clinical, and engineering teams
• Contribute to architectural decisions, including where and how AI fits into our systems
• Work within an agile framework: sprint planning, daily standups, and retrospectives AI Responsibilities
• Integrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production features
• Build retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic search
• Develop prompt engineering strategies with testing and versioning
• Design evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevance
• Collaborate on deploying, monitoring, and maintaining AI services in production
• Optimize AI feature performance, latency, and cost
Qualifications:
Required:
• 3–7 years of professional software development experience with strong full-stack delivery
• Strong, current experience with .NET/C# (.NET Core and/or .NET 10)
• Proficiency building responsive UIs with HTML/CSS
• Demonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows
• Experience integrating LLM APIs into real, shipped systems (does not need to be the bulk of your career — but you've done it and understand the tradeoffs)
• Solid foundation in data structures, algorithms, API design, and distributed system design
• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Familiarity with model limitations, evaluation tradeoffs, and the realities of running AI in production
• Experience working in collaborative environments with exposure to Git version control and branching strategies
• Experience working in collaborative environments with exposure to Agile methodologies (Scrum/Kanban)
• Experience working in collaborative environments with exposure to task/story management tools
• Experience working in collaborative environments with exposure to code reviews
• Experience working in collaborative environments with exposure to architectural discussions
• Experience working in collaborative environments with exposure to cross-functional 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
Preferred:
• Experience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebase
• Experience building or fine-tuning ML models (NLP, structured data, computer vision)
• Enhancing foundation models with RAG, fine-tuning, embeddings, or adapters
• 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
• Designing AI evaluation benchmarks
• Reinforcement learning or simulation experimentation (Gymnasium a plus)
• OAuth and systems integration patterns; RESTful API design
• Git branching strategies and experience in Scrum/Kanban environments
Company:
Optivate is a healthcare technology services company specifically designed for Eye Surgeons. Founded in 1998, the company is headquartered in Bonita Springs, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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