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Contract Llm Developer Jobs (NOW HIRING)

SmartIPlace

LLM Engineer[Onsite]

Houston, TX · Remote

$170K/yr

LLM Engineer 6-month contract Houston,TX (Onsite) USC/GC Required Skills & Experience -3+ years of large language modeling experience -5+ years of python experience -Strong problem solving skills and ...

Kforce Technology Staffing

Remote AI/LLM Engineer

Odessa, FL · On-site

$90K - $122K/yr

RESPONSIBILITIES: Kforce has a client in need of a Remote AI/LLM Engineer. Responsibilities ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Monitise

AWS Solutions Architect

Berkeley Heights, NJ

$67.50 - $88.75/hr

You will actively leverage modern Generative AI and Large Language Model (LLM) developer tools to ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

Fiserv, Inc.

AWS Solutions Architect

Berkeley Heights, NJ · On-site

$67.50 - $88.75/hr

You will actively leverage modern Generative AI and Large Language Model (LLM) developer tools to ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

LVT

Staff ML/LLM Ops Engineer

Seattle, WA

$213K - $272K/yr

ABOUT THIS ROLE We are seeking a Staff ML/LLM Ops Engineer to own the model lifecycle as ... Define and own the contract boundary between the model platform and the application backend so ...

LVT

Staff ML/LLM Ops Engineer

Seattle, WA · On-site

ABOUT THIS ROLE We are seeking a Staff ML/LLM Ops Engineer to own the model lifecycle as ... Define and own the contract boundary between the model platform and the application backend so ...

LVT

Staff ML/LLM Ops Engineer

Seattle, WA · On-site

ABOUT THIS ROLE We are seeking a Staff ML/LLM Ops Engineer to own the model lifecycle as ... Define and own the contract boundary between the model platform and the application backend so ...

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Contract Llm Developer information

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How much do contract llm developer jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for contract llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

What are some common challenges Contract LLM Developers face when working with clients on AI projects?

Contract LLM Developers often encounter challenges such as aligning client expectations with the current capabilities and limitations of large language models, ensuring data privacy and compliance, and integrating AI solutions into existing systems. Communication is key, as clients may not fully understand the technical constraints or required data preparation. Additionally, managing project scope and timelines while balancing multiple stakeholders' input can require strong project management and negotiation skills.

What are Contract LLM Developers?

Contract LLM Developers are professionals hired on a temporary or project basis to design, develop, and implement applications using large language models (LLMs) like GPT-4. They typically work with organizations seeking to integrate advanced natural language processing (NLP) capabilities into their products or services. Contract LLM Developers are skilled in machine learning, programming languages such as Python, and have experience with AI frameworks and APIs. Their responsibilities may include fine-tuning language models, building conversational AI systems, and ensuring the ethical use of AI technologies.

What are the key skills and qualifications needed to thrive as a Contract LLM Developer, and why are they important?

To thrive as a Contract LLM Developer, you need strong programming skills (often in Python), a solid understanding of machine learning concepts, and experience with large language models, typically supported by a degree in computer science or related field. Familiarity with tools like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as experience with APIs and version control systems, is common. Excellent problem-solving, communication, and the ability to quickly adapt to new technologies help you stand out in this freelance or project-based role. These skills are critical for efficiently developing, fine-tuning, and deploying sophisticated language models that meet client requirements.

What is the difference between Contract Llm Developer vs Contract Software Engineer?

AspectContract Llm DeveloperContract Software Engineer
Required CredentialsTypically requires a law degree, LLM specialization, and legal certificationsRequires a computer science degree or related technical certifications
Work EnvironmentLegal firms, AI companies focusing on legal tech, or law departmentsTech companies, software development firms, or startups
Industry UsageLegal tech, AI legal applications, compliance toolsGeneral software development, AI, and tech industries
Common Search/ComparisonYesYes

The Contract Llm Developer specializes in legal language models, requiring legal expertise and an LLM degree, often working within legal tech or law-related industries. In contrast, a Contract Software Engineer focuses on software development skills and technical certifications, working across various tech sectors. While both roles involve AI and contract work, their core skills and industry applications differ significantly.

More about Contract Llm Developer jobs
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Contract Llm Developer jobs near you
AI / LLM Developer Needed - In-Person Project (South Florida)

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

Caring Transitions

Boca Raton, FL • On-site

Contractor

Re-posted 6 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