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Temporary Large Language Model Llm Jobs (NOW HIRING)

Systems Architect

Las Vegas, NV · On-site

$232K/yr

... Large Language Model LLM Architecture Prompt Engineering Agentic AI Frameworks Banking Domain Accounting Domain Financial Automation Technology Leadership Negotiation Skills Program Delivery Project ...

Deploy LLM solutions across cloud-based and local resources using kubernetes (llama.ccp, vllm etc ... Large Language Models and experience identifying ways to incorporate them into new areas and ...

Large Language Model (LLM) & Retrieval-Augmented Generation (RAG): * Develop and fine-tune large language models like GPT, Gemini, Langchain, and Llama for specific business needs. * Implement RAG ...

New

... Large Language Model (LLM) solution to check coherence and consistency. Resource will also develop and modify existing models related to customer long term engagement and retention. This role will ...

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Temporary Large Language Model Llm information

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How much do temporary large language model llm jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for temporary large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is a temporary large language model LLM?

Temporary Large Language Model (LLM) roles involve short-term positions where individuals work with or support the development, training, or deployment of large language models like GPT or similar AI technologies. These roles may include tasks such as data annotation, prompt engineering, model evaluation, or assisting in content moderation powered by LLMs. Temporary LLM roles are often project-based and can be found in tech companies, research labs, or organizations utilizing AI for various applications. They generally require familiarity with AI concepts, attention to detail, and sometimes programming skills.

What are the key skills and qualifications needed to thrive as a temporary large language model LLM?

To thrive as a Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree. Proficiency with tools like Python, TensorFlow or PyTorch, and experience with cloud platforms and version control systems is typically required. Strong problem-solving skills, attention to detail, and effective communication help engineers collaborate and innovate in complex projects. These skills are crucial for developing, fine-tuning, and deploying LLMs that deliver accurate and ethical AI solutions.

What are the typical challenges faced by professionals working in a temporary large language model LLM role, and how can they be addressed?

Professionals in temporary Large Language Model (LLM) roles often encounter challenges such as quickly adapting to new datasets, ensuring data privacy, and optimizing model performance within tight deadlines. Since these roles are project-based, there may be limited onboarding time, requiring a strong ability to learn and collaborate rapidly with cross-functional teams like data engineers and product managers. To succeed, it's helpful to be proactive in seeking clarification, documenting work thoroughly, and staying updated on the latest advancements in LLM technologies.

What is the difference between Temporary Large Language Model Llm vs Data Scientist?

AspectTemporary Large Language Model LlmData Scientist
Required CredentialsTypically no formal degree, but expertise in AI/ML and programmingUsually requires a degree in Computer Science, Statistics, or related fields
Work EnvironmentAI development teams, research labs, tech companiesData analysis, modeling, and business insights in various industries
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, e-commerce, and more
Common Search & ComparisonFocuses on AI model deployment and developmentFocuses on data analysis and insights

The main difference is that a Temporary Large Language Model Llm is an AI system or model used for language processing, while a Data Scientist analyzes data to generate insights. The Llm is a tool or product, whereas the Data Scientist is a professional role that may utilize models like Llm in their work.

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Infographic showing various Temporary Large Language Model Llm job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

Systems Architect

Las Vegas, NV • On-site

Virtusa Corporation
IT Services • 10K+ employees

$232K/yr

Temporary

Re-posted 2 days ago


Job description

Hands on Program Management
Strong Technical Background
Client Engagement
Strategic Planning
Analytical Skills
Risk Assessment
Risk Mitigation Planning
Azure DevOps ADO Dashboard
Knowledge of Agentic AI Applications
LangGraph
LangMem
Large Language Model LLM Architecture
Prompt Engineering
Agentic AI Frameworks
Banking Domain
Accounting Domain
Financial Automation
Technology Leadership
Negotiation Skills
Program Delivery
Project Timeline Tracking
Cost Management
Project Governance
Program Delivery and Alignment
Communication Skills
Cross Functional Coordination
Stakeholder Management
Team Collaboration
Decision Making
Problem Solving
Continuous Improvement
Generative AI
AI Solution Delivery

Virtusa logo

About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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