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Llm Engineer Jobs in Seattle, WA (NOW HIRING)

Agoda

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 ...

ZS

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 ...

Saransh Inc

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 ...

MediaAlpha

Applied AI Software Engineer

Bellevue, WA

$170K - $260K/yr

Integrate LLM-based services into MediaAlpha's products, internal tools, and data ecosystem ... Mentor engineers on LLM application development patterns and best practices. Requirements * 9+ ...

Spiceorb

FORWARD DEPLOYMENT ENGINEER

Bellevue, WA · On-site

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 ...

eTeam

AI Agent Engineer

Redmond, WA · On-site

... LLM orchestration frameworks e.g., LangChain, Semantic Kernel, Microsoft Agentic Framework or ... Bachelor's or Master of Engineering Preferred : • LLM APIs • Autonomous Workflows Company ...

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Llm Engineer information

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$61

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How much do llm engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for llm engineer in Seattle, WA is $61.07, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $70.91 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:

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Llm Engineer jobs near you
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 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,021 per year, or $61.1 per hour.

Generative AI Engineer / LLM Engineer

Connexions Data Inc

Seattle, WA • On-site

Other

Re-posted yesterday

Job description

This is a Generative AI Engineer / LLM Engineer role with a strong focus on RAG (Retrieval-Augmented Generation), NLP, and Python.

They want someone who can:

  • Build Generative AI applications
  • Develop RAG-based chatbots and AI assistants
  • Fine-tune LLMs
  • Work with Python
  • Deploy AI solutions in an Agile environment

Likely experience expected:

  • 8 years in AI/ML
  • 2 4 years specifically in Generative AI or LLMs (depending on the market and client expectations)
Job Description
Must Have Technical/Functional Skills
Experience in executing projects in Agile Framework
Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn.
Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing.
Proficiency in RAG (Retrieval-Augmented Generation) techniques.
Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning.
Familiarity with evaluation metrics for RAG systems.
Knowledge of transformer architectures and training techniques.
Awareness of ethical considerations and bias mitigation strategies.
Understanding of autonomous decision-making algorithms.
Proficiency in the programming language Python.
Strong analytical and problem-solving skills.
Roles & Responsibilities
Qualifications:
Bachelor s or master s degree in computer science, data science or equivalent
Develop and implement generative AI models using frameworks like TensorFlow and PyTorch.
Build and optimize RAG (Retrieval-Augmented Generation) pipelines.
Work on NLP tasks such as text classification, summarization, and conversational AI.
Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas).
Fine-tune and optimize transformer-based models and LLMs for specific use cases.
Evaluate model performance using RAG and NLP evaluation metrics.
Develop and integrate machine learning models into applications.
Apply autonomous decision-making logic in AI-driven workflows where needed.
Generic Managerial Skills, If any
Good to have Manufacturing domain understanding
Excellent communication
Team collaboration
Documentation and knowledge sharing

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