AI / LLM Developer Needed – In-Person Project (South Florida)
At a glance
Mid-level AI Engineering role at Caring Transitions. Boca Raton · contract.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build a locally hosted AI assistant on a high-powered laptop for private, ongoing use
- Set up a local or hybrid LLM stack and tune it for CPU, GPU, RAM and VRAM
- Create persistent knowledge storage that can retain and reuse structured information and user context
- Design the system for future changes while keeping its data handling technically sound and compliant
- Explain the engineering trade-offs and limits of your approach
What you bring
- You have hands-on experience with local or hybrid LLMs and local inference
- Strong Python skills are required, along with experience building persistence or memory systems
- You can configure and optimize high-performance local hardware
- You have familiarity with tools such as Ollama, LM Studio or another listed tool
Who this fits
This hands-on engineering contract suits a mid-level developer who has built local or hybrid LLM systems, rather than someone focused on prompt engineering or theory. You must be based in Florida and able to collaborate in person. The engagement is project-based, and a confidentiality agreement is required.
From the employer
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