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Neural Engineering Jobs in Florida (NOW HIRING)

Citi

Principal AI Engineer - Vice President

Tampa, FL · On-site

The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for ... statistics, neural networks, and LLMs. Extensive handson experience with LLMs: Gemini, OpenAI ...

CYNET SYSTEMS

Software Developer 1

Orlando, FL · On-site

$30 - $37/hr

... engineering data management system followed by developing Large Language Model (LLM) assistants to ... Solid understanding of Computer Vision and Neural Network concepts. * Understanding of relational ...

Opendoor

Applied Scientist AI/ML

Miami, FL · On-site

Responsibilities : • Design and deploy architectural improvements to our deep neural network (DNN ... Required : • Strong software engineering and coding skills in Python, with experience ...

Pwc

AI Engineer

Tampa, FL

$50K - $112K/yr

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Pwc

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Pwc

AI Engineer

Miami, FL · On-site

$50K - $112K/yr

... neural networks and deep learning methods for advanced AI applications - Managing data quality and ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Saluda Medical

Clinical Specialist - Tampa, FL

Tampa, FL · On-site

$85 - $120/hr

The company's proprietary technology senses and measures neural responses to stimulation and ... programming, and patient follow-up for company products. * Perform patient follow-up to assure ...

Saluda Medical

Clinical Specialist

Orlando, FL · On-site

$75 - $110/hr

The company's proprietary technology senses and measures neural responses to stimulation and ... programming, and patient follow-up for company products. * Perform patient follow-up to assure ...

Saluda Medical

Clinical Specialist - Miami, FL

Miami, FL · On-site

$90 - $130/hr

The company's proprietary technology senses and measures neural responses to stimulation and ... programming, and patient follow-up for company products. * Perform patient follow-up to assure ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for neural engineering in Florida is $14.43, according to ZipRecruiter salary data. Most workers in this role earn between $12.02 and $15.62 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in neurotechnology, programming, and biomedical engineering can lead to higher compensation, especially in research or industry roles.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and technology to develop medical devices and brain-computer interfaces. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovation and interdisciplinary work.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or industry settings, utilizing skills in neuroscience, engineering, and programming tools like MATLAB or Python. Opportunities include roles in biomedical device development, neural data analysis, and clinical applications.
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For Neural Engineering jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Neural Engineering jobs in Florida look for?

The top searched job categories for Neural Engineering jobs in Florida are:

What cities in Florida are hiring for Neural Engineering jobs?

Cities in Florida with the most Neural Engineering job openings:

Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $30,022 per year, or $14.4 per hour.

Principal AI Engineer - Vice President

Citigroup, Inc.

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago

Citibank rating

8.4

Company rating: 8.4 out of 10

Based on 179 frontline employees who took The Breakroom Quiz

39th of 175 rated banks

Job description

The Digital Software Engineering Lead Analyst is a strategic technical leader responsible for designing and engineering enterprise grade Agentic AI solutions capable of integrating data from multiple heterogeneous systems and operating reliably at scale.
You will act as a hands-on architect, engineer, and partner to cross functional teams-including Data Engineering, Architecture, Enterprise Platforms, and Product-defining the technical approach, AI system design, and integration patterns needed to build robustfault tolerantnt AI agents and AIdriven automation capabilities.
This role requires deep technical breadth across machine learning, LLMs, data pipelines, cloud engineering, orchestration, and modern AI frameworks. The solutions you design will enable strategic automation, cognitive decisioning, and dynamic multi-agent workflows across the organization.
Key Responsibilities
AI Solution Architecture & Agentic Systems
  • Design and build agentic AI systems, including autonomous agents, multiagent orchestration, tool use, and adaptive decision-making workflows.
  • Architect fault tolerant, scalable AI solutions using modern agent frameworks (e.g., Google_ADK, LangGraph, LangChain , OpenAI Assistants, CrewAI, AutoGen, custom orchestrators).
  • Define the end-to-end AI system blueprint, including knowledge integration, orchestration, pipelines, observability, governance, and failover strategies.
  • Evaluate and select LLMs, embeddings, vector stores, and middleware best suited for complex enterprise requirements.

Data Integration & Pipeline Engineering
  • Partner with engineering teams to aggregate, ingest, and harmonize data from multiple systems, including APIs, databases, internal platforms, and unstructured sources.
  • Design robust data pipelines optimized for LLM workloads (e.g., chunking, metadata design, semantic indexing, retrieval strategies).
  • Implement mechanisms for ensuring data freshness, quality, and fault tolerance across distributed systems.

LLM, RAG, and Generative AI Engineering
  • Build advanced Retrieval-Augmented Generation (RAG) architectures, including hybrid retrieval, query planning, and retrieval optimization.
  • Develop, tune, and deploy applications leveraging major LLMs (OpenAI, Gemini, Claude, Llama, Mistral, HuggingFace ecosystem).
  • Engineer prompts, system instructions, and reusable prompt templates for deterministic AI behavior.
  • Implement safety guardrails, evaluation pipelines, and bias/error mitigation strategies.

AI Platform Engineering & Deployment
  • Develop cloudnative GenAI applications using containerized infrastructure (Kubernetes, OpenShift, Docker).
  • Build and support production-grade MLOps / AIOps pipelines, including CI/CD, automated testing, monitoring, model versioning, and rollback strategies.
  • Partner with engineering teams to ensure secure, compliant deployment of all AI workloads.

Technical Leadership & Collaboration
  • Serve as technical SME for AI engineering patterns, solution design, and architecture.
  • Mentor mid-level engineers and analysts, guiding best practices in AI build patterns and engineering quality.
  • Influence product and platform strategy by providing insights on emerging GenAI and agentic technologies.

Qualification:
Experience
  • 10+ years of experience in software engineering, AI/ML engineering, systems architecture, or related fields.
  • Proven experience designing and deploying enterprisegrade AI Systems in production.

Required Technical Skills
Core AI/ML & GenAI Expertise
  • Strong foundations in ML, NLP, embeddings, statistics, neural networks, and LLMs.
  • Extensive handson experience with LLMs: Gemini, OpenAI, Claude, Mistral, Llama, opensource models, etc.
  • Deep expertise in RAG architectures, including retrieval optimization, vector search, and semantic data modeling.
  • Experience building agentic AI using Google_ADK or langGraph

Programming & Data Engineering
  • Strong proficiency in Python and libraries such as:
    Pandas, NumPy, scikitlearn, PyTorch, TensorFlow, Transformers, FastAPI, LangChain, LlamaIndex.
  • Hands-on experience with vector databases: Pinecone, PGVector, MongoDB Atlas Vector Search, Neo4j, Milvus, etc.
  • Experience building pipelines for large-scale unstructured data processing.

Cloud, DevOps, & MLOps
  • Strong CI/CD experience: GitLab CI, Jenkins, Azure DevOps, ArgoCD, GitHub Actions.
  • Expertise deploying GenAI solutions in production using:
    Kubernetes, Docker, Helm, serverless runtimes, or cloud-native LLM services.
  • Experience with monitoring, observability, and logging frameworks relevant for AI workloads.

Soft Skills
  • Exceptional problem-solving and analytical skills.
  • Ability to execute independently while operating effectively in ambiguity.
  • Strong collaboration skills across engineering, architecture, and product teams.
  • Deep commitment to ethics, transparency, and responsible AI usage.

Preferred Qualifications
  • Experience building AI systems in regulated or enterprise environments.
  • Experience using knowledge graphs, graph databases, or enterprise metadata systems.
  • Familiarity with AIOps, agent monitoring, or AI governance frameworks.

Education
  • Bachelor's degree or equivalent experience required.
  • Master's degree preferred.

Job Family Group:
Technology
Job Family:
Digital Software Engineering
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$125,600.00 - $188,400.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 25, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

What Citibank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Citigroup Inc

Sourced by ZipRecruiter

We live in an increasingly complex world. Companies these days are either born global or are going global at record speed. Business and geopolitics are forging an entirely new dynamic and consumers now expect financial services to be a seamless part of their digital lives. Citi is a bank that’s uniquely positioned for this moment. Through our vast global network and our on-the-ground expertise, we can connect the dots, anticipate change and empathize the needs of our clients and customers in ways that other banks simply cannot. Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. We have set expectations for how we must act to bring our mission to life. These expectations are at the heart of our Leadership Principles – we take ownership, we deliver with pride and we succeed together.

Industry

Banking and credit intermediation

Company size

5,001 - 10,000 Employees

Headquarters location

New York City, NY, US

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