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Llm Remote Jobs (NOW HIRING)

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance ...

Globalchannelmanagement

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong hands-on experience with machine learning frameworks and LLM platforms (e.g., OpenAI, Azure ...

New

DivIHN

AI Engineer (Remote)

San Diego, CA · On-site +1

AI Engineer (Remote) Duration: 12 Months Location: San Diego, CA Work Schedule: 8 AM - 5 PM PT Only ... for building LLM agents, tools and MCP servers. 4. Context Engineering: Proven experience ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... The goal of this project is to create a structured analysis of information flow in modular, LLM ...

Mutual of Omaha

AI Engineer - Remote

Omaha, NE · Remote

Nebraska, Remote Categories: Information Technology Mutual Of Omaha is seeking an experienced ... Guide teams in adopting and building LLM-powered applications, including context engineering ...

Genesis10

Lead AI Engineer - Remote

Minnetonka, MN · Remote

$145K - $150K/yr

Genesis10 is currently seeking a Lead AI Engineer for a remote position with a Leading Risk ... Architect and build scalable AI/LLM backend systems and data pipelines for risk detection and ...

Kake

Senior Software Engineer - LLM Trainer

$125.40K - $165.30K/yr

... LLM evaluation projects • Excellent written and verbal communication skills in English • ... a remote, asynchronous, fast-paced environment • High attention to detail and the ability to ...

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What are the key skills and qualifications needed to thrive as an LLM Remote Engineer, and why are they important?

To excel as an LLM Remote Engineer, a solid background in machine learning, natural language processing, and proficiency with programming languages like Python is essential, often supported by a degree in computer science or a related field. Experience with frameworks such as PyTorch or TensorFlow, familiarity with large language models (LLMs), and relevant cloud platforms (like AWS or Azure) are typically required, along with certifications in AI or ML being advantageous. Strong problem-solving, communication, and self-motivation are crucial soft skills for collaborating effectively across remote teams and driving innovation. These competencies ensure successful model development, deployment, and maintenance in a distributed work environment.

What are some common challenges faced by remote Large Language Model (LLM) engineers, and how can they overcome them?

Remote LLM engineers often face challenges such as collaborating effectively across time zones, maintaining clear communication with distributed teams, and staying updated on rapidly evolving AI research. To overcome these obstacles, it's important to leverage collaboration tools (like Slack, GitHub, and video conferencing), establish regular check-ins, and participate in virtual knowledge-sharing sessions. Additionally, proactively seeking feedback and engaging with global AI communities can help remote LLM engineers stay aligned with team goals and industry trends.

What is an LLM Remote job?

An LLM Remote job typically refers to a position that involves working with large language models (LLMs) such as OpenAI's GPT, but done remotely rather than in a traditional office setting. These roles can include positions like machine learning engineer, data scientist, prompt engineer, or AI researcher, all focused on developing, fine-tuning, or applying LLMs. Working remotely allows professionals to contribute to AI projects from anywhere, often collaborating with distributed teams and leveraging cloud-based tools. This flexibility is ideal for those who want to work in the AI field without relocating to a tech hub.

What is the difference between Llm Remote vs Legal Assistant?

AspectLlm RemoteLegal Assistant
Required CredentialsLaw degree (JD or equivalent), bar admission (preferred)High school diploma or associate degree, paralegal certification often preferred
Work EnvironmentRemote, flexible hours, legal firms or corporate legal departmentsOffice-based or hybrid, law firms, corporate legal departments
Industry UsageLegal research, document review, legal analysisLegal support, document preparation, client communication
Search & Comparison IntentUnderstanding remote legal roles, legal research jobsLegal support roles, paralegal or legal assistant positions

While both roles support legal operations, Llm Remote typically involves legal research and analysis requiring a law degree, often performed remotely. Legal Assistants focus on administrative and support tasks, usually in-office or hybrid, with less emphasis on legal research. The choice depends on your credentials and preferred work environment.

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Llm Remote jobs near you
Infographic showing various Llm Remote job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 4% Physical, and 96% Remote job distribution.

Senior Full-Stack Engineer - LLM-Powered Code Review PoC

Fuku

San Francisco, CA • Remote

Full-time

Posted yesterday

Job description

Senior Full-Stack Engineer (Freelance/Contract, Remote)
NexaFlow is developing a proof-of-concept automated code review tool powered by large language models (LLMs). We are seeking a Senior Full-Stack Engineer to design and deliver the prototype end-to-end.
Key Responsibilities:

  • O
    • wn the entire proof-of-concept (PoC) development process, from architecture to deployment.
  • I
    • ntegrate webhooks for pull request (PR) analysis.
  • B
    • uild a hybrid review engine combining LLMs and static analysis tools.
  • I
    • mplement custom rule configuration for code reviews.
  • D
    • evelop a review dashboard for users.
  • E
    • nsure Docker-based deployment of the solution.
    Requirements:
  • 5
    • + years of full-stack development experience with Python (FastAPI) or Node.js and React.
  • P
    • roven experience integrating LLM APIs (such as OpenAI GPT-4, Anthropic Claude) into production systems.
  • H
    • ands-on experience with CI/CD pipelines, including GitHub Actions or GitLab CI.
  • F
    • amiliarity with code review tooling.
  • A
    • bility to work independently, handling all aspects from system architecture to deployment.
  • E
    • xperience with static analysis tools (e.g., Semgrep, CodeQL) is a strong plus.
    Engagement Details:
  • F
    • reelance/contract position.
  • F
    • ully remote work.
  • C
    • ompetitive rate based on experience.

    About Fuku

    Sourced by ZipRecruiter

    Industry

    Food services and drinking places

    Company size

    51 - 200 Employees

    Headquarters location

    New York, NY, US

    Year founded

    2015

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