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Llm Graduate Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

Responsibilities We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient ...

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How much do llm graduate jobs pay per year?

As of Jul 7, 2026, the average yearly pay for llm graduate in the United States is $75,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $102,500.00 per year, depending on experience, location, and employer.

What is an LLM Graduate job?

An LLM Graduate job refers to positions available to individuals who have completed a Master of Laws (LLM) degree. These roles often include legal research, academic teaching, corporate counsel positions, or specialized legal advisory roles in law firms, government, and international organizations. The specific job opportunities depend on the graduate’s specialization, experience, and jurisdiction. Many LLM graduates pursue careers in areas like international law, human rights, taxation, or intellectual property.

What are the key skills and qualifications needed to thrive in the Llm Graduate position, and why are they important?

To thrive as an LLM Graduate, you should possess strong legal research, analysis, and writing skills, usually supported by an LLM degree from a recognized institution. Familiarity with legal databases such as LexisNexis or Westlaw and, in some jurisdictions, bar admission or additional certifications can be valuable. Excellent communication, critical thinking, and cross-cultural competence are standout soft skills for this role. These qualities are essential for effectively interpreting complex legal issues, advising clients, and advancing within diverse legal environments.

What types of career paths are typically available for LLM Graduates after completing their degree?

LLM Graduates commonly pursue roles such as legal associates, in-house counsel, compliance officers, or subject matter specialists in law firms, corporations, or public sector organizations. Many also leverage their advanced expertise to work in academia, pursue further research, or transition into policy advising and international organizations. The LLM can also enhance eligibility for bar exams in certain jurisdictions, broadening opportunities for legal practice. Graduates often join collaborative legal teams and may specialize in areas like tax, intellectual property, international law, or human rights, setting the stage for a dynamic and rewarding legal career.

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Llm Graduate jobs near you
Infographic showing various Llm Graduate job openings in the United States as of July 2026, with employment types broken down into 3% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $75,121 per year, or $36.1 per hour.
Intern, AI Engineering

Intern, AI Engineering

Workato

San Francisco, CA

Other

Re-posted yesterday

Job description

Workato AI LabAbout Workato AI Lab

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

Responsibilities

We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.
We are now filling intern positions for Winter 2026 and Spring 2027. 

Research Areas

  • LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

  • Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

  • High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

In this role, you will also be responsible to:

  • Conduct original research on LLM agent architectures and optimization techniques

  • Develop and evaluate novel algorithms with both academic rigor and production feasibility

  • Present your work at internal research seminars and external conferences

  • Mentor and collaborate with LLM  engineers on implementation and deployment

RequirementsQualifications / Experience / Technical Skills

  • Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields

  • Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)

  • Strong programming skills in Python and PyTorch

  • Ability to work in-person at our San Francisco office

  • Ability to work independently and collaborate across research and engineering teams

Preferred:

  • Experience with self-evolving agent systems

  • Proficiency in CUDA programming and custom kernel development for LLM operations

  • Background in reinforcement learning-based LLM fine-tuning 

  • Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

  • Experience bridging academic research with production systems

  • Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

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