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Python Llm Jobs in Florida (NOW HIRING)

Tata Consultancy Service Limited

Python AI Engineer

Sunrise, FL · On-site

$80K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... LLM, GenAI • Implement efficient data ingestion and transformation workflows using Pandas. • Model, implement, and optimize PostgreSQL schemas and queries for large datasets. • Develop and ...

Cloud think technologies LLC

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

  • Medical

  • Dental

  • PTO

Detailed JD - have expertise in AI, Large Language Models (LLM), and Python scripting. Exposure to Anti-Money Laundering (AML) is preferred. This role involves developing and implementing AI ...

InterSources Inc

Gen AI Engineer

Tampa, FL · On-site

... python • Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face ...

CEI

Senior AI Software Engineer - Agentic AI / Python

Orlando, FL · On-site

$103 - $110/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Develop and refine multi-agent LLM workflows using frameworks such as Google ADK, LangGraph, A2A ... Advanced knowledge of asynchronous Python, including async/await, concurrency, and asynchronous ...

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Python Llm information

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 Florida?

The most popular types of Python Llm jobs in Florida are:

What are popular job titles related to Python Llm jobs in Florida?

For Python Llm jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Python Llm jobs in Florida look for?

The top searched job categories for Python Llm jobs in Florida are:

What cities in Florida are hiring for Python Llm jobs?

Cities in Florida with the most Python Llm job openings:

Python Llm jobs near you

Information Technology_USA - USA_Product Architect

Real Soft, Inc.

Jacksonville, FL • On-site

Contractor

Re-posted 4 days ago

Job description

Please strictly adhere to the following resume naming convention:
ALL CAPS, NO SPACES B/T UNDERSCORES
PTN_US_GBAMSREQID_CandidateBeelineID
i.e. PTN_US_9999999_SKIPJOHNSON0413
: MAX CONFIRMED- -
MSP Owner: Shilpa Bajpai
Location: Cleveland OH- 100% onsite from Day 1.
Duration: 6 months
skill id: 10631636
Role: AI Tech Architect
Experience Required: 8-10years
Skills: Digital: Python, Digital: Machine Learning, Digital: Artificial Intelligence (AI), Digital: Chatbots / Conversational Agents, AI Agents, AI & Gen AI - Products & Tools
Job Description
Role Summary
We are looking for a highly experienced AI Architect specializing in Python-based AI development, Large Language Models (LLMs), and the design of chatbots and voice bots. The ideal candidate will architect enterprise-grade conversational AI solutions, ensure robust LLM performance monitoring, and drive innovation in Generative AI systems.
Key Responsibilities
LLM & Conversational AI Architecture
• Architect scalable solutions using LLMs, ChatGPT-style models, and voice AI frameworks.
• Design and build chatbots and voice bots using Python, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP/LLM pipelines.
• Create frameworks for conversational flows, prompt engineering, retrieval-augmented generation (RAG), and context management.
Solution Development
• Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.
• Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.
• Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).
LLM Performance Monitoring & Optimization
• Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.
• Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.
• Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies
Voice Bot & Chat Bot Engineering
• Architect solutions using:
o Speech APIs (Azure Speech, Amazon Transcribe, Google Speech-to-Text)
o Chat platforms (Teams, Slack, web chat widgets)
o Telephony integrations (Twilio, Genesys, Ujet)
• Ensure high accuracy in intent detection, slot filling, sentiment tracking, and multimodal interaction.
MLOps & Deployment
• Implement MLOps practices including CI/CD, model versioning, A/B testing, evaluation pipelines, and governance.
• Deploy models on cloud platforms such as Azure, AWS, or GCP (Azure preferred if using OpenAI/Azure OpenAI).
Ensure compliance with enterprise AI governance, security, and ethical AI standards
Essential Skills: AI Architect| Python| LLM| Conversational AI Architecture| voice AI frameworks| ASR (Automatic Speech Recognition) | TTS (Text-to-Speech) | and NLPLLM pipelines| Voice Bot Chat Bot Engineering., Project Code :

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