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New Grad Ai Software Engineer Jobs in Florida (NOW HIRING)

AI Native Software Engineer

Tampa, FL ยท On-site

$120 - $180/hr

We are seeking an AI-Native Software Engineer to help transform our software development process into an AI-first engineering model. In this role, you will use AI tools as a primary development ...

Job#: 3044122 AI Developer IV (Principal AI Engineer) Overview We are seeking a highly experienced ... The ideal candidate combines deep expertise in software engineering, cloud-native architecture ...

Company Overview TENEX is an AI-native, automation-first, built-for-scale Managed Detection and ... Ability to learn new technologies quickly and independently. * Strong problem-solving and ...

Are you open to new ideas, collaborating with teammates, teaching, and learning from others? If ... We are looking to add a Mid-Level Software Engineer. Who is DS2? DS2 provides full life-cycle ...

Are you open to new ideas, collaborating with teammates, teaching, and learning from others? If ... We are looking to add a Mid-Level Software Engineer. Who is DS2? DS2 provides full life-cycle ...

Are you open to new ideas, collaborating with teammates, teaching, and learning from others? If ... We are looking to add a Mid-Level Software Engineer. Who is DS2? DS2 provides full life-cycle ...

Software Engineer

Bay Harbor Islands, FL ยท On-site

$120 - $180/hr

We're building a new kind of living experience: one that's flexible, connected, and designed to ... You should be genuinely AI-native -- not someone who has used an AI coding assistant a few times ...

New

Showing results 21-40

New Grad Ai Software Engineer information

What does a new grad AI software engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are the key skills and qualifications needed to thrive as a new grad AI software engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by new grad AI software engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What cities in Florida are hiring for New Grad Ai Software Engineer jobs?

Cities in Florida with the most New Grad Ai Software Engineer job openings:

Infographic showing various New Grad Ai Software Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Software Design Engineer (AI)

Metova Federal

Orlando, FL โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Company Overview
By Light Professional IT Services LLC readies warfighters and federal agencies with technology and systems engineered to connect, protect, and prepare individuals and teams for whatever comes next. Headquartered in McLean, VA, By Light supports defense, civilian, and commercial IT customers worldwide.
Cole Engineering Services (CESI), a By Light company, is recognized as a premier provider of modeling and simulation (M&S) training solutions to the Federal Government and industry. Since 2004, CESI has been at the forefront of developing, maintaining, and integrating simulation-based training, serious gaming, technical services, training and other support in live, virtual, constructive, and gaming (LVCG) domains. CESI also designs, builds and runs infrastructure, platforms, applications and processes that enable cyber training for the integrated multi-domain force. Our vision is to become a worldwide full spectrum LVCG and cyber training/analysis developer, integrator and services provider.
#sofweek
Responsibilities
As an AI Software Engineer, you will be actively involved with the full software and machine learning lifecycle. You will be expected to support requirements analysis, conduct trade studies for model and framework selection, present AI design architectures, and implement solutions utilizing techniques like Retrieval-Augmented Generation (RAG) and model training or fine-tuning.
Solutions will be created from established requirements using robust engineering processes tailored for AI in production systems. This process will guide the selection, development, and evaluation of foundational models, AI agent platforms, and orchestration frameworks. Additionally, you must be able to independently complete detailed design and development work for individual AI components, establishing robust agent context and memory management capabilities.
Once individually developed, these components must seamlessly integrate into the broader products, frequently requiring integration with vector databases at the subsystem level. Following strict software and ML engineering standards is crucial for building reliable systems, particularly when applying advanced logic like reinforcement learning techniques. Comprehensive documentation of model behavior, integration points, and system architecture is expected throughout the entire effort.
You must also maintain a clear understanding of the project schedule and budget, ensuring all tasks-from initial model evaluation to production deployment-stay on track. Finally, as a senior member of the team, you may be responsible for providing technical oversight on AI integration to the broader development team and communicating directly with the customer to ensure AI capabilities align with their operational needs.
Required Experience/Qualifications
  • Bachelor's degree in a technical discipline such as electrical engineering, computer science, information technology, systems or software engineering from an accredited college or university.
  • 5+ years of experience designing and developing software modules for integration into large-scale systems and networks.
  • Experience with software/hardware analysis and design, performance analysis, configuration and data management, quality assurance, and specification definition.
  • Must be able to adhere to robust technical specifications and work both independently and as a member of a software development team.

Preferred Experience/Qualifications
  • Proficiency with AI coding assistants and/or experience developing production-grade AI/ML agents.

Special Requirements/Security Clearance
Please note that pursuant to a government contract, this specific position requires U. S. Citizenship status with ability to obtain a TOP SECRET security clearance Security Clearance requirements will be specified in the Government's Task Order.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. The above is intended to describe the general contents of and requirements for the performance of this job.
Benefits Overview
CESI recognizes that our strength is our people. We support every employee as an individual to build strong teams across the enterprise. Our benefit package includes:
  • Medical, Dental & Vision Coverage
  • Wellness Program
  • 401(k) Matching
  • Disability (Short Term & Long Term)
  • Employee Assistance Program
  • Life Insurance
  • Education & Training
  • Generous Leave Policy (11 Federal Holidays, PTO, Military Leave, Bereavement and Jury Duty)

Cole Engineering Services, Inc. is an equal opportunity employer. We consider qualified applicants without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, political affiliation, age, marital status, disability, genetic information, veteran status, membership in an employee organization, or any other basis prohibited by federal, state, or local laws.