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Ai Engineer Llm Jobs (NOW HIRING)

AI Engineer - LLM Infra

San Francisco, CA · On-site

$126K - $166K/yr

Work closely with product engineers to translate cutting-edge AI capabilities into reliable product experiences. What we're looking for: * Experience with ML infrastructure (GPU clusters) and ...

Lead the design and implementation of LLM-enabled analytics capabilities leveraging Snowflake and ... Principal AI Engineer, LLM, Snowflake, Cortex AI, natural language to SQL, semantic data modeling ...

AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ...

Principal AI Engineer Location: Springfield, Missouri Department: Information Technology Employment ... edge LLM and Snowflake technologies, and build production-ready systems that increase data ...

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ...

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ...

Contract Key Skills - AI, Python, Rag, LLM Overview We are seeking an AI Engineer with proven experience in building and scaling AI-powered applications . This role combines hands-on development with ...

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Ai Engineer Llm information

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How much do ai engineer llm jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai engineer llm in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

Are AI engineer LLMs in demand?

AI engineers specializing in large language models (LLMs) are in high demand due to the rapid growth of AI applications across industries. Skills in deep learning, natural language processing, and experience with frameworks like TensorFlow or PyTorch are highly sought after, and job opportunities are expected to continue increasing as AI technology advances.

What is the role of AI engineer LLM in AI?

An AI engineer specializing in large language models (LLMs) designs, develops, and fine-tunes AI systems that process and generate human-like text. They work with machine learning frameworks, manage data pipelines, and optimize model performance to improve natural language understanding and generation capabilities.
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Infographic showing various Ai Engineer Llm job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

AI Engineer - LLM Infra

San Francisco, CA • On-site

$126K - $166K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 days ago


Job description

Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.
Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strong, and excited about building superhuman AI agents that take actions on the web.
Our founders - Devi Parikh, Abhishek Das, Dhruv Batra - have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori's mission.
Yutori is backed by a stellar set of visionary investors - Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.
Responsibilities:
  • Scale infra for post-training of multimodal LLMs (CPT, SFT, RL, search, reward models)
  • Scale infra for agentic inference (throughput and latency of perception-planning-action loops)
  • Build the foundations of a superhuman generalist web-agent
  • Work closely with product engineers to translate cutting-edge AI capabilities into reliable product experiences.

What we're looking for:
  • Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)
  • Experience optimizing post-training and inference performance of multimodal LLMs (data/tensor/pipeline/context/expert parallelism, optimizing MFU, throughput, latency)
  • Low level systems experience (Triton, CUDA)
  • High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.

Benefits and perks:
  • Competitive salary and equity
  • Visa sponsorship and relocation stipend to bring you to SF
  • Generous health, dental, vision insurance for you and your dependents
  • 20 days of paid time off per year
  • Work laptop and budget to set up your work office
  • Daily team lunches
  • Commuter benefits
  • Small, focused team of high-potential individuals. In-person in SF.