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Assistant Llm Developer Jobs (NOW HIRING)

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... Apply prompt engineering techniques to generate consistent, repeatable AI outputs * Assist in ...

Ironflow AI

AI/LLM Integration Engineer

San Diego, CA · On-site

$110K - $148K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Monitise

AWS Solutions Architect

Berkeley Heights, NJ · On-site

$67.50 - $88.75/hr

Demonstrated ability using GenAI assistants or LLM developer tools (e.g., GitHub Copilot, or Claude) to accelerate code generation, rewrite legacy scripts, automate documentation, and debug ...

Fiserv, Inc.

AWS Solutions Architect

Berkeley Heights, NJ · On-site

$67.50 - $88.75/hr

Demonstrated ability using GenAI assistants or LLM developer tools (e.g., GitHub Copilot, or Claude) to accelerate code generation, rewrite legacy scripts, automate documentation, and debug ...

SpaceX

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

... agents, LLM-powered applications, or tool-using assistants that integrate with real business ... developer tooling is a plus • Experience with agent evaluation, guardrails, permissions, and ...

Bjak

LLM Application Engineer

Charleston, WV · Remote

Our mission is to build a proactive smart assistant for everyday users to bring intelligence to ... About the Role As an LLM Application Engineer, you will build the intelligence layer that powers A1 ...

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Assistant Llm Developer information

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How much do assistant llm developer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for assistant llm developer in the United States is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $20.67 per hour, depending on experience, location, and employer.

What is the difference between Assistant Llm Developer vs Machine Learning Engineer?

AspectAssistant Llm DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; familiarity with NLP and LLMsBachelor's or higher in CS, Data Science, or related; strong ML background
Work EnvironmentTech companies, AI startups, research labsTech firms, AI companies, research institutions
Employer & Industry UsageFocus on developing and fine-tuning language modelsDesigning, building, deploying ML models across domains

Assistant Llm Developers typically focus on developing and fine-tuning language models, often working closely with NLP teams. Machine Learning Engineers have a broader scope, designing and deploying various ML models across industries. Both roles require strong technical skills, but Assistant Llm Developers specialize more in language-specific AI applications.

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Assistant Llm Developer jobs near you
Infographic showing various Assistant Llm Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $41,393 per year, or $19.9 per hour.

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

Boca Raton, FL • On-site

Caring Transitions
Personal Services • 11 - 50 employees
Learn more about Caring Transitionsexternal

Contractor

Re-posted 21 days ago

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

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

Apply