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Python Llm Jobs in Boca Raton, FL (NOW HIRING)

Senior AI Software Engineer

Fort Lauderdale, FL · On-site

$117K - $154K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

Senior AI Software Engineer

Fort Lauderdale, FL · On-site

$117K - $154K/yr

Build and maintain LLM-powered features including retrieval-augmented generation systems ... Build Python or Typescript based backend services that expose AI capabilities to product and ...

AI Engineer

Boca Raton, FL · On-site

$50K - $112K/yr

... using Python and TensorFlow - Integrating data from various sources to create unified views for ... LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation ...

Translate AI capabilities-LLM-generated content, structured summaries, clinical recommendations ... Exposure to Python or backend service development * Experience in a greenfield or early-stage ...

Translate AI capabilities-LLM-generated content, structured summaries, clinical recommendations ... Exposure to Python or backend service development * Experience in a greenfield or early-stage ...

Showing results 21-40

Python Llm information

See Boca Raton, FL salary details

$12

$55

$81

How much do python llm jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python llm in Boca Raton, FL is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.17 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 the most commonly searched types of Python Llm jobs in Boca Raton, FL?

The most popular types of Python Llm jobs in Boca Raton, FL are:

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For Python Llm jobs in Boca Raton, FL, the most frequently searched job titles are:

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What cities near Boca Raton, FL are hiring for Python Llm jobs?

Cities near Boca Raton, FL with the most Python Llm job openings:

Infographic showing various Python Llm job openings in Boca Raton, FL as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $115,710 per year, or $55.6 per hour.

Senior Site Reliability Engineer - AI & Automation.

Miami Gardens, FL

Neshent Technologies
11 - 50 employees

$52 - $69.25/hr

Full-time

Posted 7 days ago


Job description

Primary Responsibilities

*Design and implement AI agents, LLM-based solutions, and operational automation for SRE and DevOps environments.
*Support production systems, perform incident response, troubleshooting, and 24x7 operational triage.
*Develop automation and integrations using Python.
*Build and maintain monitoring and observability solutions using Splunk, Datadog, New Relic, or AppDynamics.
*Design and manage cloud infrastructure across AWS, Azure, and/or GCP.
*Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, and/or AWS CDK.
*Apply AI/ML, prompt engineering, and agentic AI concepts to operational use cases.
*Develop runbook automation, anomaly detection, and intelligent incident management capabilities.
*Collaborate with engineering, operations, and business stakeholders to improve system reliability and operational processes.
*Mentor engineers and help establish SRE, DevOps, automation, and observability best practices.

Required Skills

*5+ years of SRE, DevOps, or Site Reliability Engineering experience.
*Strong Python development skills for automation, tooling, and integrations.
*Experience with AI agents, LLMs, and agentic AI frameworks.
*Experience with Splunk, Datadog, New Relic, AppDynamics, or similar observability platforms.
*Hands-on experience with AWS, Azure, and/or GCP.
*Experience with Terraform, CloudFormation, and/or CDK.
*Strong production support and incident response experience.
*Knowledge of AI/ML, prompt engineering, and operational AI automation.
*Strong communication, stakeholder management, and mentoring skills.
*Ability to work effectively in a 24x7 operational environment.

Preferred Skills

*Experience with Adobe Experience Manager (AEM).
*Experience supporting CMS platforms and digital applications.
*Knowledge of incident management, runbook automation, and anomaly detection.
*Familiarity with Atlassian Rovo, AI operational tooling, and modern observability platforms.