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Contract Llm Developer Jobs (NOW HIRING)

Cynet Systems

AI/ML Developer

Mason, OH

$55 - $60/hr

Contract Job Overview: Pay Range: $55hr - $60hr * AI/ML developers We are seeking AI/ML engineers to design and build production-grade LLM-powered applications and agentic systems. * This role owns ...

Right Skale, Inc.

GenAI IOS Engineer

$143.30K/yr

IOS/GenAI LLM Engineer - Extendable Contract - Remote (US Based) Key Skills: * Proficiency in rapid prototyping techniques and methodologies to quickly iterate and refine concepts. * 10+ years of ...

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How much do contract llm developer jobs pay per hour?

As of May 31, 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 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 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 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.

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Contract Llm Developer jobs near you
Infographic showing various Contract Llm Developer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 60% Full Time, 23% Part Time, and 16% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.
Java Developer :: Jersey City, Tampa, Newark :: Hybrid

Java Developer :: Jersey City, Tampa, Newark :: Hybrid

Data Wave Technologies Inc

Jersey City, NJ • Hybrid

$53.25 - $69/hr

Other

Posted 17 days ago

Job description

Java Developer Generative AI/LLM Engineer
Locations: Jersey City, Tampa, Newark
Work Model: Hybrid
Contract Long Term

Role Overview

Looking for experienced Java developers with strong exposure to Generative AI technologies, including Large Language Models (LLMs), NLP, and Retrieval-Augmented Generation (RAG). The role involves building enterprise-grade AI-powered applications, scalable backend systems, and cloud-native microservices for financial and enterprise clients.

Key Responsibilities

  • Design and develop enterprise applications using Java, Spring Boot, and microservices architecture.
  • Build and integrate Generative AI solutions using LLMs such as OpenAI GPT, Gemini, Claude, Llama, or Mistral.
  • Develop and optimize RAG pipelines for enterprise knowledge retrieval systems.
  • Implement prompt engineering, prompt tuning, and reusable AI workflows.
  • Build AI-powered APIs, copilots, chatbots, and automation solutions.
  • Integrate vector databases such as Pinecone, PGVector, Mongo Atlas, Neo4j, or similar.
  • Work with NLP techniques and unstructured data processing.
  • Deploy AI/ML solutions into production environments.
  • Collaborate with cross-functional teams in Agile/Scrum environments.
  • Ensure secure coding, scalability, performance optimization, and CI/CD best practices.

Required Skills

Core Java Stack

  • Java 8/11/17+
  • Spring Boot
  • REST APIs
  • Microservices
  • Kafka (preferred)
  • Distributed systems

Generative AI / AI Skills

  • Hands-on experience with:
    • LLMs
    • RAG architecture
    • NLP
    • Prompt engineering
    • AI agents / agentic frameworks
  • Experience with:
    • LangChain
    • LlamaIndex
    • Hugging Face
    • Vertex AI
    • OpenAI APIs

Cloud & DevOps

  • AWS / Azure / Google Cloud Platform
  • Docker & Kubernetes
  • CI/CD pipelines
  • Jenkins / GitLab CI / Azure DevOps
  • MLOps concepts

Databases & Data

  • SQL / NoSQL databases
  • Vector databases
  • Handling large-scale unstructured data

Preferred Qualifications

  • Product company background
  • Financial services/domain experience preferred
  • Strong architecture and design skills
  • Experience leading offshore/onshore teams
  • Strong communication and stakeholder management skills

Apply