AI / LLM Developer Needed – In-Person Project (South Florida)

Caring Transitions

Boca Raton, FL, United States1w ago

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Key details

Location
Boca Raton, FL, United States
Work style
Onsite
Level
Mid level
Function
Data & ML
Focus area
AI / ML
Posted
1w ago

Skills

embeddingslangchainllama.cppllmprompt engineeringpythonvector databases

About the role

Hiring: AI / LLM Developer (Florida – In-Person Collaboration)

I’m seeking an experienced AI / LLM developer based in Florida for a paid, contract-based project that involves in-person collaboration.

This role is suited to someone with strong hands-on experience designing and running local or hybrid LLM systems on high-performance hardware.


Project Overview

The project involves designing and implementing a locally hosted AI assistant running on a high-powered laptop for private, long-term use.

Key components include:

  • Deploying and configuring a local or hybrid LLM stack

  • Optimizing performance across CPU, GPU, RAM, and VRAM

  • Designing a persistent memory and knowledge storage system

  • Developing methods to retain and reuse structured knowledge and user context in a compliant and technically sound way

  • Building the system with extensibility and future customization in mind

This is a hands-on engineering role, not prompt engineering or theoretical research.


Required Experience

  • Demonstrated experience working with LLMs (local or hybrid)

  • Strong Python proficiency

  • Familiarity with tools such as Ollama, LM Studio, llama.cpp, LangChain, vector databases, embeddings, or agent frameworks

  • Experience with local inference, persistence, and memory systems

  • Comfortable configuring and optimizing high-performance local hardware

  • Ability to clearly explain technical trade-offs and limitations


Logistics

  • Location: Florida (in-person collaboration required)

  • Engagement: Paid, contract / project-based

  • Compensation: Competitive, based on experience

  • Confidentiality agreement required


If this aligns with your background, please message me with:

  • A brief summary of relevant experience

  • Examples of similar projects

  • A high-level outline of how you would approach this build

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