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Entry Level Ai Infrastructure Engineer Jobs in Florida

Monitor and analyze trends in the AI landscape, hyperscaler demand, and energy infrastructure to ... Bachelor's degree in Finance, Economics, Engineering, or a related quantitative field. ABOUT THE ...

We're looking for a Generative AI & Machine Learning Engineer who thrives at the intersection of ... Work effectively with minimal supervision and a proven ability to align data infrastructure with ...

AI agents * automation systems * developer infrastructure * web3 applications * modern software engineering * autonomous workflows Role Overview Pairty is looking for an Autonomous Systems Apprentice ...

The ideal candidate will be responsible for building, automating, and managing scalable cloud infrastructure on AWS while enabling AI/ML workloads through robust DevOps practices. This role requires ...

New

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML ... Bachelors degree in Computer Science, Engineering, or related field required. * Masters degree in ...

Cloud Engineer - Azure

Fort Myers, FL · On-site +1

$78K - $101K/yr

Innovate with AI: Partner with data science and AI teams to develop infrastructure for AI/ML ... Bachelor's degree in Computer Science, Engineering, or related field required. * Master's degree in ...

... DevOps, and automation tools in AI/ML contexts. Company ... Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program ...

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... infrastructure changes and ML workflows * Implement AI-driven data validation, schema drift ...

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... infrastructure changes and ML workflows * Implement AI-driven data validation, schema drift ...

Showing results 41-60

Entry Level Ai Infrastructure Engineer information

What is the difference between Entry Level Ai Infrastructure Engineer vs Data Engineer?

AspectEntry Level Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, EE, or related; familiarity with AI toolsBachelor's in CS, Data Science, or related; experience with databases
Work EnvironmentAI/ML teams, cloud platforms, infrastructure setupData pipelines, database management, cloud services
Industry UsageTech companies, AI startups, research labsFinance, healthcare, tech firms, data-driven industries

Entry Level Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware setups, while Data Engineers primarily develop data pipelines and manage data storage. Both roles require technical skills and often overlap in cloud environments, but they serve different core functions within data and AI projects.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Florida? The most popular types of Ai Infrastructure Engineer jobs in Florida are:
What job categories do people searching Entry Level Ai Infrastructure Engineer jobs in Florida look for? The top searched job categories for Entry Level Ai Infrastructure Engineer jobs in Florida are:
What cities in Florida are hiring for Entry Level Ai Infrastructure Engineer jobs? Cities in Florida with the most Entry Level Ai Infrastructure Engineer job openings:
Infographic showing various Entry Level Ai Infrastructure Engineer job openings in Florida as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Application Software Engineer, Applied AI

SpaceX

Cape Canaveral, FL • On-site

Other

Posted 9 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
APPLICATION SOFTWARE ENGINEER, APPLIED AI
The application software team is the central nervous system of SpaceX - we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support.
In this Applied AI role within the Application Software team, you will design, evaluate, deploy, and integrate modern AI systems-including large language models and agentic systems-that power products and infrastructure across SpaceX. You will own the end-to-end lifecycle of AI capabilities from prototype to production while partnering closely with Product, Engineering, and Operations teams. We are looking for a strong software engineer with a proven track record of delivering AI products, including hands-on experience evaluating, deploying, and integrating AI solutions into real production systems.
Aerospace experience is not required - rather we look for smart, motivated, respectful, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers with diverse perspectives to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce.
RESPONSIBILITIES:
  • Develop highly reliable software solutions used across SpaceX, including AI-powered applications that accelerate production, flight, and Starlink operations
  • Create new applications that improve how SpaceX operates by incorporating modern large language models, agentic systems, and other AI capabilities
  • Own the full lifecycle of Applied AI systems: design, evaluation, deployment, monitoring, and iteration from prototype to production
  • Deep dive into users' problems to uncover high-leverage AI opportunities and deliver efficient, production-grade solutions
  • Architect production systems for agentic workflows, tool-use, multi-agent orchestration, advanced retrieval, and long-context applications that prioritize reliability, safety, and responsible deployment
  • Build and maintain rigorous evaluation frameworks (LLM-as-judge, automated benchmarks, online evaluation) and production observability/monitoring for AI quality, safety, latency, and cost
  • Stay at the frontier of LLM techniques and rapidly incorporate emerging best practices into production systems across SpaceX programs

BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, engineering, math, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
  • 1+ years of experience in full stack development

PREFERRED SKILLS AND EXPERIENCE:
  • Hands-on experience evaluating, deploying, and integrating AI models into production systems
  • Proven track record of delivering (or significantly contributing to) end-to-end AI products or production AI-powered features
  • Proven track record of shipping real-world AI products from prototype through production deployment and iteration
  • Deep hands-on experience with modern LLM techniques: agentic systems, tool-use / function calling, multi-agent orchestration, advanced retrieval architectures, fine-tuning, and structured outputs
  • Experience building production evaluation systems (LLM-as-judge, automated eval harnesses, A/B testing, red-teaming) and AI observability/monitoring (tracing, quality metrics, safety, cost)
  • Experience designing and implementing production architecture for AI-powered applications with strong emphasis on reliability, safety, and responsible deployment
  • Previous experience in AI product design, development, integration, testing, and productionization
  • Strong software engineering foundation with expertise in designing production systems (including AI-powered and system-to-system architectures) and a track record of writing clean, maintainable code
  • Programming experience in Python, C#.NET, Go, Scala, Java, or similar
  • Production experience with Docker, Kubernetes, and modern data streaming (Kafka or similar)
  • Front-end experience (Angular, React, or similar) and database experience (PostgreSQL, SQL Server, or similar)
  • Demonstrated ability to stay current with rapidly evolving AI technologies and best practices
  • Ability to work under pressure and deliver results across multiple parallel priorities in a fast-paced, high-reliability environment

ADDITIONAL REQUIREMENTS:
  • You may be asked to work extended hours/weekends dependent on launch cadence
  • This role requires you to be onsite. Remote and/or hybrid work will not be considered
  • Ability to pass Air Force background check for Cape Canaveral

ITAR REQUIREMENTS:
    Learn more about the ITAR here.

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


SpaceX logo

About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US