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

Caring Transitions; Boca Raton (FL); On-site; USD 83,000 - 165,000; Part time

Benefits offered by this job

_no perks listed_

Job summary

Caring Transitions is seeking an experienced AI / LLM Developer for a paid, contract-based project in Boca Raton, Florida. This role requires in-person collaboration and involves designing and implementing a locally hosted AI assistant running on high-performance hardware.

The ideal candidate will have demonstrated experience with LLMs, strong Python skills, and familiarity with relevant tools. This position offers competitive compensation based on experience.

Qualifications

• Proven experience in designing and running local or hybrid LLM systems.
• Ability to optimize performance across CPU, GPU, RAM, and VRAM.
• > Familiarity with local inference, memory storage, and privacy considerations.

Responsibilities

• Design and implement a locally hosted AI assistant.
• Deploy and configure a local or hybrid LLM stack.
• Develop methods to retain and reuse structured knowledge.

Skills

Demonstrated experience working with LLMs (local or hybrid)

Strong Python proficiency

Familiarity with tools such as Ollama, LM Studio

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

vector databases

embeddings

agent frameworks

Tools

LM Studio

Job description

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

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

How to Apply

• A brief summary of relevant experience
• Examples of similar projects
• A high-level outline of how you would approach this build