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Entry Level Llm Engineer Jobs in Seattle, WA (NOW HIRING)

Pipe17

Junior Tools Engineer

Seattle, WA · On-site

AI tooling and automation using ChatGPT, Claude, and other LLM-based systems. * Infrastructure ... Competitive entry-level salary and benefits. * Mentorship from senior engineers and architects.

All JobsLlm Engineer JobsEntry Level Llm Engineer JobsEntry Level Llm Engineer Jobs in Seattle, WA

Entry Level Llm Engineer information

See Seattle, WA salary details

$46.1K

$98.3K

$162.2K

How much do entry level llm engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level llm engineer in Seattle, WA is $98,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $117,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level LLM engineer, and why are they important?

To thrive as an Entry Level LLM Engineer, you need a solid background in computer science, programming (especially Python), and basic machine learning concepts, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), experience with LLM APIs (such as OpenAI or Hugging Face), and understanding version control systems (like Git) are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and adapt in dynamic teams. These competencies are crucial for building, fine-tuning, and deploying large language models that meet project goals and industry standards.

What is an entry level LLM engineer?

An Entry Level LLM (Large Language Model) Engineer is a professional who works on developing, fine-tuning, and deploying AI models that process and generate human language, such as GPT or similar neural network-based systems. They typically work with machine learning frameworks, data preprocessing, and model evaluation under the guidance of more experienced engineers. Entry level LLM Engineers are often responsible for implementing basic model architectures, running experiments, and analyzing model performance. They usually have a background in computer science, machine learning, or related fields, and are familiar with programming languages like Python.

What are some common challenges faced by entry level LLM engineers when working on real-world language model applications?

Entry Level LLM Engineers often encounter challenges such as adapting large language models to specific business requirements, managing computational resources efficiently, and debugging complex model outputs. Collaborating with data scientists and software engineers is key, as projects typically require integrating models into broader systems. Additionally, staying updated with rapid advancements in the field and learning to work with large datasets are ongoing aspects of the role. Supportive team structures and mentorship can help new engineers overcome these hurdles and accelerate their growth.

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 Entry Level Llm Engineer jobs in Seattle, WA?

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

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

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

Entry Level Llm Engineer jobs near you
Infographic showing various Entry Level Llm Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $98,304 per year, or $47.3 per hour.

Junior Tools Engineer

Pipe17

Seattle, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Junior Tools Engineer

Location: On Site Seattle
Department: Engineering

About Pipe17

Pipe17 connects commerce businesses' selling channels, fulfillment providers, and back-office systems into one automated, reliable flow. We're solving the "post-order chaos" that happens when e-commerce platforms, ERPs, and 3PLs don't talk to each other.

Our AI-native cloud platform orchestrates orders, inventory, and shipments between systems like Shopify, Amazon, NetSuite, and ShipStation - powered by modern APIs, event-driven microservices, and intuitive web dashboards.

We're growing fast, and we're looking for a Junior System Engineer who is passionate about building tools, integrating APIs, and leveraging modern AI tooling to improve developer and business productivity. 

We're looking for someone who's AI-curious and eager to learn - if you're excited by new tools and want a place to grow your skills while shipping real impact, you'll thrive here.

Interview Note: You'll be screen sharing, using AI tool of your choice, and then you'll be programming together as a part of the process!

We can provide you an Anthropic API key to use during the interview if you don't want to use your own. This can be used for Claude Code, Cursor, and other tools.

What You'll Do

As a Junior System Engineer, you will:

  • Design, build, and maintain internal tools and automation scripts using JavaScript / TypeScript.
  • Develop lightweight APIs, CLI tools, and web utilities to enhance developer productivity and system reliability.
  • Implement and manage API integrations between internal systems and external services (e.g., GitHub, Jira, HubSpot, NetSuite, or internal APIs).
  • Experiment with and build AI-powered developer tools and automations using ChatGPT, Claude Code, and other LLM APIs.
  • Collaborate with infrastructure and product engineering teams to streamline developer workflows, deployments, and monitoring.
  • Troubleshoot system and integration issues, ensuring smooth operation across environments.
  • Write clear documentation and onboard teammates to the tools you create.
  • Participate in design reviews, daily stand-ups, and sprint planning with cross-functional teams.
  • Contribute to unit and integration testing for tools and APIs.
What You'll Learn

Hands-on experience with:

  • Node.js / TypeScript for automation, APIs, and internal developer tooling.
  • REST / GraphQL APIs for integrations and data synchronization.
  • AI tooling and automation using ChatGPT, Claude, and other LLM-based systems.
  • Infrastructure scripting and configuration (AWS, Terraform, Docker).
  • Authentication and authorization flows (OAuth2, API keys, JWT).
  • CI/CD automation with GitHub Actions or similar pipelines.
  • Cloud deployments (AWS Lambda, ECS, or similar containerized services).
  • Observability and monitoring (CloudWatch, Datadog, Grafana).
  • Secure coding and SOC 2-aligned development practices.
RequirementsMinimum Qualifications
  • 0-2 years of experience in software or system engineering.
  • Fluency in JavaScript / TypeScript.
  • Experience building tools or automation scripts for personal or team use.
  • Experience integrating APIs (REST, GraphQL, or webhooks).
  • Familiarity with AI developer tools such as ChatGPT, Claude Code, GitHub Copilot, or Replit Ghostwriter.
  • Familiarity with Git, CI/CD pipelines, and cloud platforms (AWS or similar).
  • Curiosity about automation, integration, and AI-driven developer productivity.
  • Strong problem-solving and communication skills.
Nice-to-Haves
  • Experience with SQL / NoSQL databases.
  • Familiarity with containerization (Docker) or serverless platforms.
  • Exposure to scripting in Python or Bash.
  • Understanding of cloud cost optimization and monitoring tools.
  • Interest in e-commerce or logistics tech.
Why It Matters

Pipe17 powers the flow of customer orders and shipments for some of the fastest-growing and best-known brands in e-commerce. As part of the engineering team, you'll build the tools and systems that make our developers faster, our platform more resilient, and our customers happier.

You'll learn how scalable SaaS infrastructure and integration systems operate in production, and how AI-assisted automation can dramatically improve developer and business productivity.

What We Offer
  • Competitive entry-level salary and benefits.
  • Mentorship from senior engineers and architects.
  • Exposure to real production SaaS environments.
  • Flexible, remote-friendly culture.
  • Clear path to mid-level roles in Systems, DevOps, or AI + Integrations Engineering.
How We Work

We value clarity, curiosity, and ownership. You'll join a small, agile engineering team where your work ships weekly and directly impacts our platform and internal operations. At Pipe17, we encourage engineers who ask why, challenge assumptions, and love to automate solutions to messy problems.

Apply