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Llm Developer Jobs in Largo, FL (NOW HIRING)

Capgemini

AI Solutions Developer

Tampa, FL · On-site

$47.50 - $65.50/hr

The role involves designing developing and deploying intelligent solutions including LLM powered ... Work closely with product engineering and business teams to translate strategic requirements into ...

United Airlines

AI Solutions Developer

Tampa, FL · On-site

The role involves designing developing and deploying intelligent solutions including LLM powered ... Work closely with product engineering and business teams to translate strategic requirements into ...

Virtusa

Java Full stack Developer

Tampa, FL · On-site

$49.50 - $64/hr

Proven experience designing and delivering LLM / GenAI solutions (e.g., RAG, orchestration, prompt engineering, AIassisted automation). Solid understanding of microservices, APIs, distributed systems ...

Deloitte

AI Engineer Consultant

Tampa, FL · Hybrid

Build and operationalize LLM-enabled capabilities (e.g., copilots, HR knowledge assistants ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · Remote

$107K - $146K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Worth AI

Senior Agentic (AI) Engineer

Tampa, FL · On-site +1

$98K - $135K/yr

Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow ... Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.

Deloitte

Forward Deployed Engineer- AWS

Tampa, FL

Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event ... Generative AI Developer (Professional - AIP-C01), AWS Certified Machine Learning Engineer ...

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

InterSources Inc is seeking a Gen AI Engineer to join their team. The role involves developing AI ... Preferred : • Working experience with Gemini LLM • Hands-on knowledge in machine learning ...

Scalence L.L.C.

Gen AI Tech Lead

Tampa, FL · On-site

$132K - $162K/yr

... and LLM integration. • Solid understanding of NLP concepts, transformer models, and prompt engineering. • Ability to translate complex business requirements into scalable AI solutions. • ...

Kobie Marketing

AI Engineer

Saint Petersburg, FL · On-site

Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore ... Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory ...

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Llm Developer information

See Largo, FL salary details

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$42

$68

How much do llm developer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for llm developer in Largo, FL is $42.88, according to ZipRecruiter salary data. Most workers in this role earn between $33.70 and $51.97 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.

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Llm Developer jobs near you
Infographic showing various Llm Developer job openings in Largo, FL as of August 2026, with employment types broken down into 78% Full Time, 8% Part Time, and 14% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $89,198 per year, or $42.9 per hour.

AI Developer (Claude + Python, On-Site)

United Placement Group

Bradenton, FL

$45.50 - $62.75/hr

Contractor

Medical, PTO

Posted 16 days ago

Job description

About Us
We are building a small, fast-moving team focused on practical AI agents that actually help people get real work done. You'll work at the intersection of Claude, Python, and modern design-helping us create and integrate AI agents into internal tools, customer-facing experiences, and creative workflows. This is an in-house, on-site role, ideal for someone who has started experimenting with LLMs and wants to grow into a strong applied AI/LLM engineer in a collaborative team setting.

Role Summary
As a Junior AI Developer, you will help build and refine AI agents powered by Claude, integrate them with Python back-ends and third-party APIs, and support collaboration with our design team. You'll work closely with more senior engineers, but you'll also own small features end-to-end-from prototype to production.

Responsibilities
  • Implement and maintain Claude-powered workflows and agents using Python.
  • Call LLM APIs (Claude and others), parse responses, and integrate them into internal tools or web applications.
  • Collaborate with senior engineers to connect agents to external tools, REST APIs, databases, and other services.
  • Help with prompt design and iteration: test different prompts, contexts, and settings to improve reliability and output quality.
  • Assist in building simple context-augmented/RAG-style workflows (e.g., feeding documents or data into LLMs in a controlled way).
  • Write clean, readable Python code with basic tests, logging, and error handling.
  • Work closely with designers and non-technical stakeholders to turn ideas into AI-powered features and tools.
Requirements
  • 1-2+ years of programming experience (professional, internship, or strong project work), with solid Python skills.
  • Some hands-on experience with large language models (Claude, ChatGPT, Gemini, etc.), either through projects, coursework, or personal experimentation.
  • Basic experience calling web APIs (REST/JSON) and handling JSON data in Python.
  • Familiarity with core LLM concepts: prompts, tokens, context windows, and common issues like hallucinations.
  • Comfort using Git and working in a collaborative development environment.
  • Strong desire to learn, experiment, and improve; clear communication and willingness to ask questions.
  • Ability and willingness to work on-site full time at our office location.
Nice to Have
  • Direct experience with Claude (Claude API, Anthropic console, or Claude Skills).
  • Projects involving chatbots, assistants, AI agents, or workflow automation.
  • Exposure to web frameworks (FastAPI, Flask, or a front-end framework like React/Next.js).
  • Experience working with or supporting graphic designers, content teams, or UX designers.
  • Basic understanding of vector databases, embeddings, or RAG-style systems (not required, but a plus).
What We Offer
  • Full-time, on-site position with weekly pay.
  • Competitive compensation package with benefits (health, PTO, etc. - customize as needed).
  • A collaborative environment that encourages growth, shared ideas, and cross-functional learning.
  • Direct mentorship from more experienced AI/LLM engineers on real-world projects.
  • The opportunity to work hands-on with the latest LLM tools and workflows in a supportive team setting.

How to Apply
Please send your resume, a brief introduction, and links to any relevant projects (GitHub, portfolio, or demos). If you've built anything with LLMs-even small experiments-please highlight those; we're excited to see how you think and build.

Apply