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Python Llm Jobs in Juno Beach, FL (NOW HIRING)

VOLO Health

AI Engineer

Jupiter, FL · On-site

... Python strongly preferred)​ * Hands-on LLM integration experience: prompt engineering and context management * Experience working with users to understand needs and iterate on solutions * Strong ...

Kforce Technology Staffing

AI Engineer ll

Juno Beach, FL · On-site

Implement LLM integrations using approaches such as RAG, prompt engineering, tool calling, and API ... Strong proficiency in Python * Experience building and shipping production software systems * Full ...

All JobsPython Llm JobsPython Llm Jobs in Juno Beach, FL

Python Llm information

See Juno Beach, FL salary details

$12

$57

$84

How much do python llm jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for python llm in Juno Beach, FL is $57.30, according to ZipRecruiter salary data. Most workers in this role earn between $47.21 and $65.10 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Juno Beach, FL?

For Python Llm jobs in Juno Beach, FL, the most frequently searched job titles are:

What cities near Juno Beach, FL are hiring for Python Llm jobs?

Cities near Juno Beach, FL with the most Python Llm job openings:

Python Llm jobs near you
Infographic showing various Python Llm job openings in Juno Beach, FL as of August 2026, with employment types broken down into 1% Internship, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $119,179 per year, or $57.3 per hour.

AI Engineer

VOLO Health

Jupiter, FL • On-site

Full-time

Re-posted 9 days ago

Job description

VOLO Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. VOLO Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund.

As an AI Engineer, you'll work at the intersection of engineering and real-world business context as a builder, problem-solver, and strategic partner. You'll embed with users across VOLO Health to understand their challenges, then design and deliver LLM-powered solutions. This role demands technical judgment and genuine empathy: listening, learning how people work, and translating insights into product direction. You'll own features end-to-end and shape what gets built.

Successful candidates will embrace the cultural principles at Voloridge:

Drive creativity and find pleasure in your work: You love coding and technology. It is as much a hobby as it is work. Whether it is following blogs and podcasts, to downloading and trying out new projects from Github or elsewhere you have ideas you want to explore. Learning new things and bringing new ideas and solutions to the challenges we face is a key driver of innovation and excitement.

Seek continual improvement and roll-up-your sleeves: Be willing to learn whatever technologies, tools, or patterns necessary to solve a problem. These are critical systems, and you cannot avoid a problem because "someone else 'owns' the code" - learn the code, learn the domain, solve the problem.

Embrace truth and openness and practice humility and honor: We are a collection of top-performers with strong opinions but respect for the ideas of others is a must for finding the right solution. Everyone makes mistakes at times, so we don't judge others. What is important is uncovering errors quickly, getting fixes in place, and understanding what can be improved for next time.

Summary of Job Functions

  • Embed with internal users to understand workflows, identify pain points, and deliver AI-powered solutions that solve real problems
  • Engineer prompts, context, and system architecture for LLMs, balancing technical rigor with practical user needs
  • Build validation pipelines and evaluation benchmarks for LLM outputs, ensuring correctness, safety, and alignment with user expectations
  • Build and maintain RAG pipelines and LLM-powered data workflows
  • Develop cloud-native solutions on AWS (Lambda, S3, ECS, SageMaker, Step Functions), architecting for LLM-specific constraints
  • Translate user feedback and field insights into production direction, influencing what gets built based on real-world needs
  • Build trust across engineering, product, and business teams; mentor others on AI technologies and best practices
  • Identify edge cases, diagnose failure modes, and shape how AI systems learn and improve over time
  • Design reliable LLM integrations: error handling, retries, circuit breakers, and monitoring for hallucinations and quality drift
  • Optimize LLM API costs through caching, batching, and model selection
  • Implement security controls against prompt injection and LLM attack vectors

Minimum Requirements

  • 3–5 years of software engineering with production LLM experience
  • ​3-5 years of professional software development experience using Python, C#, Typescript, or Node.js (Python strongly preferred)​
  • Hands-on LLM integration experience: prompt engineering and context management
  • Experience working with users to understand needs and iterate on solutions
  • Strong problem-solving orientation: outcomes and empathy over process
  • Demonstrated ability to detect and mitigate LLM hallucinations
  • Experience with RAG pipelines: embeddings, chunking, vector databases
  • Awareness of LLM security risks and mitigation strategies
  • Ability to work on-site in our Jupiter, FL office (hybrid schedule)

Preferred Skills and Previous Experience

  • 4-year college degree (or higher) in Computer Science or related field
  • Experience building agentic AI systems with tool use, multi-step reasoning, and safety constraints
  • CI/CD and DevOps experience
  • Strong experience with SQL databases (PostgreSQL, MySQL) and familiarity with NoSQL (MongoDB, DynamoDB, Redis)
  • Proficiency in AWS and infrastructure-as-code (Terraform, CloudFormation)
  • Solid understanding of microservices and containers (Docker, Kubernetes)
  • Familiarity with HIPAA and/or financial data
  • Deeply curious and high-agency: you drive solutions without waiting for direction.
  • Strong communication: you build trust and translate between technical and business audiences
  • Understanding of LLM evaluation: metrics, benchmarks, non-deterministic testing

Benefits

  • Relocation assistance available for the right candidate
  • Highly competitive base salary
  • Health, dental, vision, life, and disability insurance
  • 401K

VOLO Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.