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Llm Engineer Jobs in Seattle, WA (NOW HIRING)

Technical Product Manager, LLM/ML Domain

Seattle, WA · On-site

$190K - $219K/yr

Required : • 5+ years of experience in ML engineering, data science, platform engineering, or a ... with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning ...

Lead AI Engineer

Bellevue, WA · On-site

$115K - $151K/yr

The Lead AI Engineer will lead the development of production-grade LLM systems, focusing on building and optimizing AI applications and pipelines. Responsibilities : • Design and implement LLM ...

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

AI Agent & LLM Engineering * Design and build multi-agent systems, orchestration layers, and agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, or equivalent. * Develop and ...

This role is ideal for engineers who enjoy solving complex customer problems by combining software engineering, AI/LLM technologies, and enterprise data platforms. Mandatory Requirement: Candidates ...

Lead AI Engineer

Bellevue, WA · On-site

$155K - $167K/yr

Conduct LLM evaluation using automated and human-in-the-loop techniques (offline + online ... Prompt engineering expertise * Embeddings and vector search * Experienced in backend API design ...

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector/hybrid search, and retrieval/evaluation telemetry. * Deliver governed datasets and feature ...

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Llm Engineer information

See Seattle, WA salary details

$28

$61

$87

How much do llm engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for llm engineer in Seattle, WA is $61.03, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $70.87 per hour, depending on experience, location, and employer.

What does an LLM engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

What are the key skills and qualifications needed to thrive as an LLM engineer?

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

How much do Llm engineers make?

Llm engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and natural language processing can earn higher salaries, often exceeding $200,000 with bonuses and stock options.

What are the most commonly searched types of Llm Engineer jobs in Seattle, WA?

The most popular types of Llm Engineer jobs in Seattle, WA are:

What are popular job titles related to Llm Engineer jobs in Seattle, WA?

For Llm Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Llm Engineer jobs in Seattle, WA look for?

The top searched job categories for Llm Engineer jobs in Seattle, WA are:

Infographic showing various Llm Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,949 per year, or $61 per hour.

LLM Pre-training & Distributed Engineer (AI Infrastructure)

Hyphen Connect Limited

Seattle, WA • On-site

$122K - $160K/yr

Full-time

Re-posted 8 days ago


Job description

We are seeking a highly skilled LLM Pre-training & Distributed Systems Engineer. This role is essential for orchestrating large-scale machine learning training runs and optimizing  distributed infrastructure. The ideal candidate will have a deep understanding of GPU clusters and extensive experience in system engineering to ensure efficient and reliable training processes.

Responsibilities:

  • Orchestrate distributed training runs across 1,000+ GPUs using PyTorch, DeepSpeed, or Megatron-LM.
  • Optimize networking (InfiniBand/RDMA) and memory management to prevent out-of-memory errors.
  • Automate checkpointing and failure recovery during month-long training runs.

Required Skills:

  • Deep expertise in 3D parallelism (Data, Tensor, Pipeline).
  • Experience managing SLURM or Kubernetes-based GPU clusters.
  • Strong systems engineering background (C++, CUDA, Python).