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Llm Project Jobs (NOW HIRING)

MTS - Engineering

San Francisco, CA · On-site

$150K - $300K/yr

The ideal candidate will have hands‑on experience in DevOps technologies, testing frameworks, database management, and exposure to AI/ML or NLP/LLM projects. Key responsibilities include: * Develop ...

Experience in smaller teams and ownership of projects beneficial. Team Structure * Two current team ... Requirements * Built multi‑agent or agentic LLM systems in production and has worked with ...

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

Data Analysis Intern

San Jose, CA · On-site

$38 - $46/hr

Curate, preprocess, and analyze training data for LLM projects * Assist in training, tuning, and evaluating language models for specific use cases * Develop and test Python code to interact with LLM ...

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis ... or spatial analysis projects * Collaborate with cross-functional teams to support AI-powered ...

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Llm Project information

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How much do llm project jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for llm project in the United States is $72.32, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $85.34 per hour, depending on experience, location, and employer.

What is an LLM project?

An LLM project typically refers to a research or practical project undertaken as part of a Master of Laws (LLM) degree or, in the context of artificial intelligence, a project involving large language models (LLMs). In law, it involves in-depth study, legal analysis, or research on a specialized topic within the legal field. In AI, an LLM project often includes designing, training, or applying large language models like GPT to solve real-world problems. The specific nature and requirements of an LLM project can vary depending on the academic institution or AI research context.

What are the key skills and qualifications needed to thrive as a Large Language Model (LLM) project manager, and why are they important?

To excel as an LLM Project Manager, you need a solid background in artificial intelligence, project management, and software development, often supported by a degree in computer science or engineering. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems, and agile project management tools is typically required. Strong leadership, communication, and problem-solving skills help manage cross-functional teams and complex project requirements. These competencies ensure effective coordination, timely delivery, and the successful deployment of cutting-edge AI solutions.

What are the common challenges faced when managing an LLM project, and how can they be addressed?

Managing an LLM (Large Language Model) project often involves challenges such as ensuring data privacy, handling large-scale computational resources, and maintaining model accuracy over time. Close collaboration between data scientists, engineers, and project managers is essential to address these issues. It's important to establish clear data governance policies, optimize workflows for model training and deployment, and regularly evaluate model outputs for bias and relevance. Proactively communicating with stakeholders and staying current with industry best practices can help teams navigate these complexities and deliver successful LLM solutions.
Infographic showing various Llm Project job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $150,423 per year, or $72.3 per hour.

AI / LLM Platform Engineer

Highlands Ranch, CO • On-site

Sierra Nevada Corporation
Guided Missile and Space Vehicle Manufacturing • 5 - 10K employees

$108K - $149K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Sierra Nevada Corporation rating

8.7

Company rating: 8.7 out of 10

Based on 29 frontline employees who took The Breakroom Quiz


Job description

The AI/ML Engineer II is a mid-level position for individuals with professional experience in designing and implementing machine learning algorithms. In this role, you will independently develop and deploy AI/ML solutions to address complex challenges, such as autonomous systems, predictive maintenance, and computer vision. You will take ownership of specific projects, perform data analysis, and optimize models for performance and scalability. This position requires a combination of technical expertise, problem-solving skills, and the ability to collaborate with multidisciplinary teams to meet mission-critical objectives. As SNC's corporate team, we provide the company and its business areas with strategic direction and business support spanning executive management, finance and accounting, operations, human resources, legal, IT, information security, facilities, marketing, and communications.

Responsibilities:

Design, implement, and optimize platform services such as the LLM gateway, model routing, and workflow orchestration systems. Develop and maintain integrations that connect LLMs to enterprise systems, data sources, and APIs. Identify gaps in platform capability and propose solutions. Conduct performance testing and validation of platform services, including prompt evaluation frameworks. Optimize for reliability, cost, and scalability. Write and deploy efficient, modular code to integrate LLMs and AI agents into enterprise systems, ensuring reliability and compatibility with existing platforms. Test platform changes in staging environments to evaluate performance under real-world load. Contribute to system-level debugging and troubleshooting. Collaborate with the Forward Deployed AI team, software developers, and platform architects to align platform capability with business and enterprise requirements Keep: Document technical designs, workflows, and testing procedures for internal and external use. Share findings and best practices with team members. Document technical designs, workflows, and testing procedures for internal and external use. Share findings and best practices with team members. Explore and integrate emerging LLM providers, agent frameworks, and orchestration tools to enhance platform capabilities. Monitor model performance, cost, and usage; continuously optimize routing logic to balance capability vs. spend Execute validation procedures and support platform compliance with CMMC, FIPS, and SNC security policy requirements. Implement prompt management, versioning, and evaluation frameworks to ensure AI output quality and reliability Maintain platform SLOs and participate in on-call rotation for AI infrastructure.

Qualifications You Must Have:

Bachelor’s degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline 2+ years of experience in a related field. Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 6 years of related experience is required. Higher level relevant degree may substitute for experience. Practical experience building and operating APIs at scale in a cloud environment (AWS, Azure, or GCP). Hands-on experience integrating with at least one major LLM provider (OpenAI, Anthropic, Cohere, Mistral, etc.). Assisted with deploying software services into production environments. Proficiency in Python and at least one additional language (TypeScript or Go preferred). Familiarity with containerization (Docker, Kubernetes) and GitOps workflows.

Qualifications We Prefer:

Degree in Computer Science or related field. Experience with generative AI models and transformer-based LLM architectures. Working knowledge of Agile or DevOps practices in software/ML project environments. Exposure to LLM orchestration frameworks such as LangChain or LlamaIndex. Experience with prompt engineering and evaluation frameworks. Familiarity with cost optimization and FinOps practices for cloud or API-based platforms. Familiarity with CMMC or FedRAMP compliance requirements. Experience with MLflow or similar experiment tracking tools.

Essential Functions:

Work extensively on a computer for coding, debugging, and integrating AI/ML systems. Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%). Ability to work in a hybrid environment and manage multiple tasks effectively. This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range:

Estimated Starting Salary Range: $108,496.89 - $149,183.22. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled.

Benefits:

SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE:

To conform to U.S. Government international trade regulations, applicant must be a U.S. Citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State or U.S. Department of Commerce. Learn more about the background check process for Security Clearances.

SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We’re known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation’s most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team! SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law. SNC is a trusted global leader in aerospace and national security. Our innovative solutions enable connected protection through command, control and communications systems, as well as ISR, cyber, electromagnetic spectrum management, and other high capabilities for systems across all domains – sea, land, air, space and cyber. As a longstanding leader in defense technology, SNC is the optimum intersection of commercial, defense and non-traditional contractors. We are one of the only privately owned mid-tier A&D contractors and we pride ourselves on our ability to invest early and often to ensure mission success on or ahead of schedule. It’s part of our mission to always stay one step ahead; working on solutions today to solve the problems of tomorrow. Founded in 1963, SNC is owned by Chairwoman Eren Ozmen and CEO Fatih Ozmen.

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