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Remote Large Language Model Llm Jobs in Arizona (NOW HIRING)

Senior Mechanical Engineer

Phoenix, AZ ยท On-site +1

$128K - $169K/yr

Remote or hybrid work arrangements for this role are not available. At SSOE, we don't just talk ... Large Language Models, vibe-coding platforms, and securely integrating advanced tools into every ...

Senior Architect

Scottsdale, AZ ยท On-site +1

$120K - $160K/yr

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

Senior Architect - Data Centers

Scottsdale, AZ ยท On-site +1

$67.25 - $89.75/hr

As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.

Showing results 41-60

Remote Large Language Model Llm information

What is a remote large language model LLM?

A Remote Large Language Model (LLM) job involves working with advanced AI models, like GPT or similar, from a remote location. Professionals in these roles may develop, train, fine-tune, or implement large language models for various applications such as natural language processing, chatbots, or content generation. Remote LLM jobs can include positions like machine learning engineer, research scientist, or AI product manager. The work typically requires strong programming skills, experience with AI frameworks, and the ability to collaborate virtually with global teams.

How does a remote large language model LLM engineer typically collaborate with cross-functional teams while working remotely?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers through virtual meetings, collaborative coding platforms, and shared documentation tools. Regular communication is key, with daily stand-ups or weekly syncs to align on project goals, update progress, and address challenges. They may also participate in code reviews, contribute to design discussions, and support model deployment efforts, all within a distributed team environment. This remote structure encourages self-motivation and proactive communication to ensure project success.

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

To thrive as a Remote Large Language Model (LLM) Engineer, you need a strong background in computer science, machine learning, and natural language processing, typically supported by a relevant degree and experience with large-scale models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with cloud platforms and distributed systems are essential. Excellent problem-solving, communication, and collaboration skills are critical for remote teamwork and translating complex requirements into scalable solutions. These skills ensure the effective development, deployment, and maintenance of advanced language models in fast-evolving, distributed environments.

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

AspectRemote Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentPrimarily remote, focused on developing and fine-tuning language modelsRemote or on-site, analyzing data, building models, and generating insights
Employer & Industry UsageTech companies, AI research labs, startups working on NLP productsTech firms, finance, healthcare, marketing, and research organizations

While both roles involve data and machine learning, a Remote Large Language Model Llm specializes in developing and refining language models, whereas a Data Scientist focuses on analyzing data, building predictive models, and deriving insights across various domains.

What are the most commonly searched types of Large Language Model Llm jobs in Arizona? The most popular types of Large Language Model Llm jobs in Arizona are:
What job categories do people searching Remote Large Language Model Llm jobs in Arizona look for? The top searched job categories for Remote Large Language Model Llm jobs in Arizona are:
What cities in Arizona are hiring for Remote Large Language Model Llm jobs? Cities in Arizona with the most Remote Large Language Model Llm job openings:

Senior Mechanical Engineer

SSOE, Inc.

Phoenix, AZ โ€ข On-site, Remote

$128K - $169K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Within SSOEโ€™s Tool Install division, we specialize in high-tech Tool Installation design, offering top-tier design and engineering services to a diverse array of clients and markets. Our team is composed of highly skilled and knowledgeable professionals who excel across various disciplines. We pride ourselves on our cross-disciplinary approach, which allows us to understand and address our clients' needs more comprehensively than traditional, siloed methods. What sets us apart is our ability to seamlessly conceptualize, plan, and detail every aspect of design. Our in-house experts collaborate closely, optimizing and enhancing our work through multi-discipline strategy sessions. By leveraging cutting-edge techniques and state-of-the-art software, we deliver industry-leading technology and innovative solutions from day one.

We are seeking to hire a Senior Mechanical Engineer to support our growing team. You will collaborate daily with specialists across every discipline, contributing to some of the most capital-intensive and technically complex facilities on the planet. Your lead will play a central role in designing and delivering the mechanical groundwork that powers advanced semiconductor fabrication facilities.

This role is based on our clientโ€™s N. Phoenix, AZ facility, where you will work alongside our integrated engineering team onsite each day and collaborate in real-time on projects that benefit from hands-on coordination. Remote or hybrid work arrangements for this role are not available.   


At SSOE, we donโ€™t just talk about the future, we build it. As a leader in industry AI adoption, we empower our team to work smarter by providing responsible access to the industry leading AI Large Language Models, vibe-coding platforms, and securely integrating advanced tools into every role. From day one, youโ€™ll receive the training and support needed to leverage AI as a core tool for enhancing productivity, sparking creativity, and streamlining complex workflows.


A.  Technical Leadership & System Design

  • Serve as the mechanical authority on projects, by setting design direction, resolving technical conflicts, and ensuring system-level integrity from concept through construction.
  • Own end-to-end mechanical design of semiconductor tool installations, from utility matrices and point-of-use (POU) connections (PCW, exhaust, specialty gases, chemical drains) to specialized systems for contamination-controlled environments.
  • Lead the design, analysis, and specifications of complex HVAC systems, including air handling units, VAV systems, chillers, boilers, pump hydraulics, and exhaust ventilation, for advanced semiconductor fabrication facilities.
  • Engineer ultra-pure water (UPW/RO/DI) infrastructure and process cooling/heating systems that meet the stringent purity and reliability requirements of fab operations.
  • Design specialized exhaust and chemical delivery/drain systems for hazardous production materials (HPMs), championing a safety-first approach that meets or exceeds ASME, ASHRAE, NFPA, SMACNA, and SEMI standards.

B.  Analysis & Optimization

  • Perform detailed thermodynamic, hydraulic, and psychrometric analyses to optimize system performance, energy efficiency, and operational stability, directly influencing fab uptime and yield.
  • Develop sequences of operation (SOO) and contribute to control system narratives that ensure seamless integration of mechanical systems with facility controls architecture.
  • Apply computational and code-based methods to validate mechanical designs against applicable state/local codes, ASHRAE standards, NFPA 90A, and SEMI guidelines.

C.  Cross-Disciplinary Collaboration & Project Delivery

  • Drive coordination across electrical, structural, process, chemical, controls, and architectural teams to deliver fully integrated mechanical systems on complex, multi-discipline projects.
  • Lead and participate in design reviews, HAZOP studies, and constructability reviews, serving as the mechanical authority from concept through commissioning.
  • Translate tool vendor requirements into optimized utility matrices that reduce installation complexity and accelerate fab readiness.
  • Provide hands-on engineering support during construction: RFI responses, submittal reviews, site inspections, field verifications, as-built documentation, and system start-up oversight.
  • Develop and review project deliverables (drawings, specifications, calculations, and reports) ensuring technical accuracy, constructability, and code compliance.

D.  Mentorship & Technical Excellence

  • Shape the next generation of mechanical engineers by serving as a technical authority and mentor who raises the technical bar for the entire team.
  • Review and guide the work of junior engineers and designers, providing constructive feedback that builds capability and confidence.
  • Champion knowledge-sharing practices, contributing to internal standards, lessons-learned databases, and design guidelines that benefit the broader engineering organization.
  • Drive a safety-first design philosophy that protects people, processes, and the surrounding community on every project.

Required Qualifications:

  • Bachelor's degree in Mechanical Engineering from an ABET-accredited institution.
  • Active Professional Engineer (PE) license in Arizona or eligibility to obtain by reciprocity within six months of hire. Responsible charge and mechanical design stamping authority are required for this position.
  • 6+ years of progressive experience in mechanical systems design for semiconductor, pharmaceutical, microelectronics, or other contamination-controlled manufacturing environments.
  • Demonstrated expertise in HVAC system design (AHUs, VAV, chillers, boilers, pump hydraulics, exhaust ventilation) and process utility systems.
  • Proficiency with AutoCAD for mechanical design.
  • Comprehensive working knowledge of ASHRAE standards, NFPA 90A, IMC/IBC, and applicable Arizona state and local mechanical and fire codes.
  • Proven ability to lead multi-discipline coordination efforts and communicate complex technical information clearly to clients, project managers, contractors, and cross-discipline engineering teams.
  • Experience in delivering mechanical design packages, that include drawings, specifications, calculations, and reports for complex industrial or high-tech facility projects.

Preferred Qualifications:

  • Direct experience with semiconductor fab tool installation design: utility matrices, POU connections, HPM exhaust systems, and ultra-pure water infrastructure.
  • Experience leading HAZOP studies, constructability reviews, and design-phase risk assessments.
  • Familiarity with SEMI standards (S2, S8, F15, and related) governing semiconductor equipment safety.
  • Track record of mentoring junior engineers or formally leading small project engineering teams through complex mechanical design challenges.

Compensation & Benefits:

SSOE offers a competitive total compensation package designed to support and empower our employees and their families.

  • Salary: $130,000 โ€“ $160,000 per year, commensurate with location, education, and depth of experience.
  • Incentives: Leadership bonus program and ownership investment opportunities. We believe the people who build SSOE should share in its success.
  • Health & Wellness: Comprehensive medical, dental, and vision insurance; employer-paid life insurance; and wellness program support.
  • Retirement: 401(k) plan with company match.
  • Professional Growth: Dedicated professional development funding, PE licensure and certification exam support, conference attendance, and structured career advancement programs.
  • Time Off: Generous paid time off (PTO) policy plus paid holidays.
  • Work-Life Balance: SSOE actively supports flexible scheduling within project commitments and a culture that genuinely respects your time outside the office.