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Contract Llm Developer Jobs (NOW HIRING)

Wipro Limited

AI LEAD L1(CONTRACT)

Woodland Hills, CA · On-site

$60K - $148K/yr

AI LEAD L1(CONTRACT) City: Woodland Hills State/Province: California Posting Start Date: 6/26/26 ... LLM). * Programming: Advanced proficiency in Python; exposure to Java/Go is a plus. * Cloud ...

Infosys Limited Digital

API & Contracts: OpenAPI, JSON schema, REST. * Interoperability: MCP protocol or equivalent adapter patterns. * Governance: Familiarity with OPA/Rego and Responsible AI principles. * Observability:

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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.

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Contract Llm Developer jobs near you
AI Technical & Product Manager [LLM GenAI FAST API] Contract at Austin Texas

AI Technical & Product Manager [LLM GenAI FAST API] Contract at Austin Texas

Red Oak Technologies

Austin, TX • On-site

$65 - $69/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Overview

AI Technical & Product Manager [LLM GenAI FAST API] Contract at Austin Texas

Places Technology Services team is looking an AI Technical & Product Manager that can partner with internal AI platform teams, explore open source alternatives and build AI agents for extended business unit. As the AI Technical & Product Manager, you’ll drive the development and delivery of cutting-edge AI products, with a strong focus on hands-on engineering, rapid prototyping, and stakeholder alignment. The team balances quickly bringing value and making decisions that scale into a large agent system/workflow or quickly pivot to a better solution after business feedback. Collaborating with AI/ML teams, data scientists, and infrastructure organizations.

Responsibilities
  • Lead End-to-End Product Development: 8+ years of experience in full lifecycle of Software Engineering product development (AI preferred), from ideation and requirements gathering to prototyping, implementation, and production launch
  • Hands-On Engineering: 4+ years of development skills building backend REST API services using Python (FAST API preferred)
  • LLM-Focused Solution Design: 2+ years of experience building, architecting, or fine-tuning LLM-based solutions, with practical experience in GenAI
  • Rapid Prototyping: Build functional prototypes that demonstrate core ability to use frameworks (e.g., LangChain, LangGraph), and a working knowledge of ML techniques
  • Stakeholder Alignment: Facilitate alignment across business, design, and engineering teams, ensuring clarity of vision, requirements, and deliverables throughout the product lifecycle
  • Results-Oriented Execution: Embrace a pragmatic approach to problem-solving—prioritizing speed, usability, and impact over perfection, and iterating quickly to get products into production
  • Practical experience with asynchronous programming, type safety, threading models, state machines and data structures
  • Experience with managed cloud platforms such as AWS, GCP, Azure
  • Proficiency with containerized technologies (Docker) and familiar with orchestration platforms (Kubernetes)
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience
Qualifications
  • Hands-On Engineering: 4+ years of development experience building backend REST APIs using Python (FAST API preferred)
  • LLM-Focused Solution Design: 2+ years of experience with LLM-based solutions, GenAI
  • Rapid Prototyping: Ability to build functional prototypes using frameworks such as LangChain/LangGraph and ML techniques
  • Stakeholder Alignment: Ability to align across business, design, and engineering teams
  • Cloud & DevOps: Experience with AWS, GCP, Azure; Docker; Kubernetes
  • Education: BS in Computer Science, Engineering, or related field or equivalent experience
Seniority level
  • Mid-Senior level
Employment type
  • Contract
Job function
  • Information Technology
Industries
  • Information Services
  • Data Infrastructure and Analytics
  • Technology, Information and Media

Base pay range

$65.00/hr - $69.00/hr

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