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Remote Llm Ai Jobs (NOW HIRING)

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential ... We are specifically seeking an expert in high-performance LLM serving systems and inference ...

Remote, MD Dynanet Corporation Overview: Dynanet started with a focus on IT infrastructure and ... Design reference architectures for secure LLM/AI agent deployments across Azure, AWS, or hybrid ...

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Finance Specialist

$65 - $90/hr

Prior hands-on experience evaluating LLM/AI model outputs using structured rubrics or scoring ... Fully Remote * Schedule: Minimum 35 hours per week during weekdays * Project Duration: Based on ...

Senior AI/LLM Engineer

$179K - $201K/yr

This position is remote within the United States or Canada. Role Summary: Censys is seeking a ... LLM pipelines * Ability to rapidly prototype, validate and refine AI features in a fast-paced ...

Senior AI/LLM Engineer

$179K - $201K/yr

This position is remote within the United States or Canada. Role Summary: Censys is seeking a ... LLM pipelines * Ability to rapidly prototype, validate and refine AI features in a fast-paced ...

Remote Position Type: Full-time About Us: Belva, Inc. is a dynamic and innovative AI start-up ... of experience in LLM, AI, and ML. - Demonstrated ability to manage direct reports and make ...

Senior AI/LLM Engineer

$179K - $201K/yr

This position is remote within the United States or Canada. Role Summary: Censys is seeking a ... LLM pipelines * Ability to rapidly prototype, validate and refine AI features in a fast-paced ...

Senior AI/LLM Engineer

$179K - $201K/yr

This position is remote within the United States or Canada. Role Summary: Censys is seeking a ... LLM pipelines * Ability to rapidly prototype, validate and refine AI features in a fast-paced ...

Showing results 21-40

Remote Llm Ai information

What is a remote LLM AI job?

Remote LLM AI jobs refer to positions that involve working with large language models (LLMs) and artificial intelligence technologies from a remote location. These roles may include tasks such as developing, fine-tuning, or deploying AI models, building applications that leverage LLMs, or conducting research in natural language processing. Professionals in these roles typically have backgrounds in computer science, machine learning, or AI, and use programming languages like Python. Remote LLM AI jobs offer flexibility, allowing individuals to contribute to cutting-edge AI projects from anywhere in the world.

What are common challenges faced by professionals working in remote LLM AI roles?

Professionals in remote LLM AI roles often encounter challenges related to asynchronous communication and collaboration, as coordinating across different time zones and teams can be complex. Additionally, they may need to navigate large-scale data management, stay updated with rapid advancements in the field, and ensure robust model performance while working independently. Building efficient workflows and maintaining strong connections with cross-functional teams, such as data engineers and product managers, are essential for success. Proactively seeking feedback and participating in virtual knowledge-sharing sessions can help mitigate these challenges.

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

To thrive as a Remote LLM AI Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Experience with deep learning frameworks (like PyTorch or TensorFlow), cloud platforms (such as AWS or Azure), and familiarity with large language models (LLMs) are crucial technical qualifications. Exceptional problem-solving, self-motivation, and clear communication skills are essential for collaborating across remote teams and tackling complex challenges. These skills enable effective development, deployment, and maintenance of advanced AI systems while ensuring collaboration in a distributed work environment.

What is the difference between Remote Llm Ai vs Data Scientist?

AspectRemote Llm AiData Scientist
Required CredentialsAI/ML certifications, programming skillsStatistics, programming, data analysis degrees
Work EnvironmentRemote, collaborative AI teamsRemote or on-site data analysis teams
Industry UsageAI development, NLP, machine learning projectsData analysis, predictive modeling, business insights

Remote Llm Ai professionals focus on developing and fine-tuning large language models using AI-specific skills, while Data Scientists analyze data to generate insights. Both roles often work remotely and require programming knowledge, but their core functions differ: AI model development versus data analysis.

More about Remote Llm Ai jobs

What cities are hiring for Remote Llm Ai jobs?

Cities with the most Remote Llm Ai job openings:

What are the most commonly searched types of Llm Ai jobs?

The most popular types of Llm Ai jobs are:

What states have the most Remote Llm Ai jobs?

States with the most job openings for Remote Llm Ai jobs include:

Infographic showing various Remote Llm Ai job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution.

LLM Inference Engineer

Near AI

OR • On-site, Remote

Full-time

Re-posted 2 days ago


Job description

Locations: San Francisco or Remote

About The Role

The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and efficient infrastructure for open-source AI at a global scale.

We are specifically seeking an expert in high-performance LLM serving systems and inference optimization. In this role, you will push the boundaries of how large language models are served.

What You'll Be Doing

  • Architect and maintain production high-traffic LLM serving systems.
  • Optimize throughput, latency, and cost for leading open-source LLMs.

What We're Looking For

  • Strong hands-on experience in LLM inference, with expertise debugging and optimizing major inference engines such as SGLang, vLLM, or TensorRT.
  • Deep knowledge of state-of-the-art GPU architectures, and effectively exploit them using PyTorch, Triton, CuTe, CUDA, etc.
  • Proven track record in designing and maintaining end-to-end high-traffic LLM serving systems.
  • Strong problem-solving skills and ability to communicate technical ideas clearly.

We'd Love If You Have

  • Experience with Trusted Execution Environments (TEE).
  • Active contributor to open-source LLM inference engines.

Please let us know if you require any special requirements for your interview and we'll do our best to accommodate.