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Entry Level Llm Developer Jobs in Florida (NOW HIRING)

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... AI, LLM, Python, computer vision, data visualization tools Excellent written and verbal ...

SynergisticIT

Junior Data Scientist/Analyst

Tampa, FL · On-site

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... AI, LLM, Python, computer vision, data visualization tools Excellent written and verbal ...

Pwc

Full-Stack Cloud Engineer

Tampa, FL

$77K - $202K/yr

... LLM and AI APIs into production, with consideration for application security - Managing API and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Llm Developer information

What is the difference between Entry Level Llm Developer vs Entry Level Data Scientist?

AspectEntry Level Llm DeveloperEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; familiarity with machine learning and NLPBachelor's in Computer Science, Statistics, or related field; knowledge of programming and data analysis
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelops language models, NLP applicationsAnalyzes data, builds predictive models, interprets data trends

Entry Level Llm Developers focus on creating and fine-tuning language models using AI and NLP techniques, often working in tech and research environments. Entry Level Data Scientists analyze data sets to extract insights and build models, working across various industries. While both roles require programming skills and a background in data or AI, their core responsibilities differ: Llm Developers specialize in language models, whereas Data Scientists focus on data analysis and interpretation.

What is an entry level LLM developer?

Entry level LLM (Large Language Model) developers are professionals who work with AI models like GPT, typically at the beginning of their careers. They may assist in training, fine-tuning, or integrating large language models into various applications, often under the supervision of more experienced engineers. Their work can involve coding, data preprocessing, prompt engineering, and testing model performance. Entry level LLM developers usually have foundational knowledge in programming (commonly Python), machine learning concepts, and an interest in natural language processing (NLP). Employers often look for candidates with relevant coursework, internships, or personal projects in AI.

What are the key skills and qualifications needed to thrive as an entry level LLM developer?

To thrive as an Entry Level LLM Developer, you need a solid background in computer science, programming (especially Python), and a foundational understanding of machine learning and natural language processing concepts. Familiarity with frameworks such as PyTorch or TensorFlow, experience using libraries like HuggingFace Transformers, and basic proficiency with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to evolving project needs. These skills and qualities ensure you can effectively contribute to LLM projects, deliver reliable code, and stay current in a fast-paced AI field.

What does an entry level LLM developer do?

As an Entry Level LLM Developer, you can expect to work on tasks such as fine-tuning language models, building data pipelines, and supporting senior engineers with model deployment and testing. Your daily responsibilities may include cleaning and preparing datasets, writing Python scripts, conducting model evaluations, and documenting your work. You'll often collaborate closely with data scientists, machine learning engineers, and product teams to ensure your models align with business goals. This role is a great opportunity to build foundational skills in natural language processing while gaining exposure to real-world applications of large language models.
What are the most commonly searched types of Llm Developer jobs in Florida? The most popular types of Llm Developer jobs in Florida are:
What are popular job titles related to Entry Level Llm Developer jobs in Florida? For Entry Level Llm Developer jobs in Florida, the most frequently searched job titles are:
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What cities in Florida are hiring for Entry Level Llm Developer jobs? Cities in Florida with the most Entry Level Llm Developer job openings:
Entry Level Llm Developer jobs near you

Junior Security Automation Engineer

Fidelity National Financial

Jacksonville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago

Fidelity National Financial rating

7.9

Company rating: 7.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

180th of 304 rated insurance

Job description

FNF® is the leading provider of title insurance and settlement services to the real estate and mortgage industries. FNF®'s various mortgage and real estate services companies provide services that complement our title insurance business. From a full-service qualified intermediary, home warranties, UCC insurance, relocation services, and notary services, we provide essential services to fulfill the needs of a changing real estate industry. FNF® believes the power of technology can elevate the real estate transaction. From investments in title and escrow software to industry-leading real estate partner solutions, we take our commitment to provide real estate professionals and consumers with a truly reimagined, transparent, connected, and trusted real estate experience to heart.
POSITION OVERVIEW
Entry-level engineering role focused on building, testing, and maintaining automation workflows under the guidance of senior engineers. Supports the team in delivering reliable, scalable integrations across enterprise security and operational systems. Overall maintenance of the platform.
LOCATION
  • This role is 100% remote.

DUTIES & RESPONSIBILITIES
  • Develop and test automation workflows based on documented use cases and requirements
  • Build and consume REST API integrations to connect enterprise platforms and services
  • Write and maintain Python scripts for data transformation, parsing, and task automation
  • Assist with troubleshooting, debugging, and remediating workflow failures
  • Contribute to documentation of runbooks, integration patterns, and standard operating procedures
  • RHEL / AKS Platform stability and maintenance

MINIMUM REQUIREMENTS
  • Bachelor's degree in Computer Science, Cybersecurity, Information Technology, or related field or equivalent combination of education and hands-on experience accepted (e.g., Associate's +relevant project work, bootcamp + demonstrated portfolio)
  • Relevant certifications a plus: CompTIA Security+, AZ-900/AZ-104, CKA, PCEP/PCAP (Python)
  • 1-2 years in a software engineering, DevOps, automation, or security operations role
  • Or equivalent demonstrated experience through internships, co-ops, or significant personal/academic projects involving Python automation and API integration
  • Experience working in Linux environments (any distribution)

ADDITIONAL REQUIRED SKILLS:
  • Python (scripting, data manipulation, REST API consumption)
  • Data analysis and transformation (pandas, JSON/CSV parsing)
  • AI/LLM integration experience (prompt engineering, tool-calling patterns, API consumption)
  • REST API integration (consuming, authenticating, error handling)
  • Automation pipeline concepts (scheduling, orchestration, idempotency)
  • Git version control (branching, PRs, code review participation)
  • Basic SQL (querying, filtering, joins)

PREFERRED EXPERIENCE
  • RHEL/Linux server administration (systemd, package management, troubleshooting)
  • Container fundamentals (Docker/Podman, Dockerfiles, compose)
  • AKS/Kubernetes (pod debugging, helm basics, kubectl)
  • Background in cybersecurity (vulnerability management, threat intel, SIEM/SOAR concepts)
  • Experience with Apache Airflow or similar orchestration platforms
  • Familiarity with Azure services (Key Vault, Blob Storage, Managed Identity

COMPENSATION & BENEFITS
FNF, its affiliates, and subsidiaries carefully considers multiple factors to determine compensation, including a candidate's education, training, specialty, experience, and work location. The base salary (exempt) or hourly rate (non-exempt) is just one component of the total rewards package offered to our employees, including potential bonus or commission eligibility, insurance (medical/dental/vision/life/disability), matching 401(k) plan and matching employee stock purchase plan.
EQUAL OPPORTUNITY POLICY
FNF, its affiliates and subsidiaries, is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, protected veteran status, national origin, sexual orientation, gender identity or expression (including transgender status), genetic information or any other characteristic protected by applicable law.

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