Applied AI Engineer – Fusion Systems

Helion
US
Remote

Who this role is best for

Geared toward senior engineers comfortable with structuring ambiguous information into scalable systems, working in a fast-changing hardware environment.

Best fit for

  • Senior engineers who excel at turning fragmented knowledge into structured systems.
    — “Ability to structure ambiguous information into structured systems
  • Technical writers with software engineering skills and AI integration experience.
    — “Strong software engineering skills (Python or similar)
  • Builders of internal tools who thrive in hardware-adjacent environments.
    — “Experience building internal tools for engineering teams

Things to consider

  • Role involves documenting fast-changing experimental knowledge.
    — “fast-changing knowledge into something durable

How to stand out

  • Show concrete examples of LLM-powered tools you've built.
    — “Experience building LLM-powered tools (RAG, search, etc.)
  • Highlight experience with engineering design or CAD tools.
    — “Exposure to CAD or engineering design tools
  • Demonstrate how you've linked documentation with operational data.
    — “linking documentation with logs, configs, and analysis outputs
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • capture and document procedures, experiments, and workflows
  • structure and standardize documentation
  • integrate and organize data
  • develop AI-assisted tools
  • prototype automation
Typical background
data engineeringsoftware engineeringknowledge modeling

Skills & requirements

Required

Data Or Knowledge ModelingTechnical Documentation SystemsStrong Software Engineering SkillsAbility To Structure Ambiguous InformationExperience Working With Domain Experts

Preferred

Building Internal Tools For Engineering TeamsExposure To CAD Or Engineering Design ToolsExperience Using LLM ApisExperience Building Llm-powered ToolsExposure To Large Scale Hardware Environment

Stack & domain

PythonData ModelingKnowledge ModelingTechnical Documentation SystemsLlm ApisLlm-powered ToolsLarge Scale Hardware EnvironmentLeadershipCommunicationCollaborationAIFusion PowerEnergy

About the role

As an Applied AI Engineer at Helion, you'll work closely with engineers and operators to capture and document complex procedures and experiments, transforming fragmented knowledge into structured, scalable systems that support AI-assisted workflows. This role is ideal for someone with a strong background in data modeling and technical documentation, who enjoys hands-on work in a fast-paced environment.

Original posting from Helion via Ashby

About Helion

We are a fusion power company based in Everett, WA, with the mission to build the world's first fusion power plant, enabling a future with unlimited clean electricity. Our vision is a world with clean, reliable, and affordable energy for everyone.

Since Helion's founding in 2013, we have raised over $1 billion from long-time investors such as Sam Altman, Mithril, and Capricorn Investment Group as well as new investors SoftBank and Lightspeed to propel us forward. Our last prototype, Trenta, completed 10,000 high-power pulses and reached plasma temperatures of 100 million degrees Celsius (9 keV). We are now operating Polaris, our next prototype on the path to the world's first fusion power plant.

This is a pivotal time to join Helion. You will tackle real-world challenges with a team that prizes urgency, rigor, ownership, and a commitment to delivering hard truths – values essential to achieving what no one has before. Together, we will change the future of energy, because the world can't wait.

We’re looking for someone to build Helion’s internal knowledge foundation from the ground up—capturing operational procedures, experimental insights, and machine behavior—and turning that into a structured, scalable system that can support AI-assisted workflows and future automation.

This role spans documentation, data structuring, and applied AI. You’ll work directly with engineers and operators to turn fragmented, implicit, and fast-changing knowledge into something durable, searchable, and actionable. This is a hands-on, applied role focused on building systems around LLMs and operational data—not training models from scratch

You Will:

  • Capture & document procedures, experiments, and workflows by partnering with engineers and operators to turn fragmented knowledge into clear runbooks
  • Structure & standardize documentation through docs-as-code practices, including versioning, formatting, reviews, and defined schemas
  • Integrate & organize data by linking documentation with logs, configs, and analysis outputs to improve consistency and clarity
  • Develop AI-assisted tools by partnering with software engineers to inform LLM-powered solutions
  • Prototype automation through lightweight agents and workflows (e.g., run summaries, anomaly investigation) while laying the foundation for more advanced systems

Required Skills:

· Experience with data or knowledge modeling (schemas, metadata, ontologies)

· Experience with technical documentation systems (e.g., Confluence/Jira or similar)

· Strong software engineering skills (Python or similar)

· Ability to structure ambiguous information into structured systems

· Experience working with domain experts to extract knowledge

Preferred Skills:

· Experience building internal tools for engineering teams

· Exposure to CAD or engineering design tools

· Experience using LLM APIs (e.g., OpenAI, Claude) in production systems

· Experience building LLM-powered tools (RAG, search, etc.)

· Exposure to large scale hardware environment

 #LI-Onsite #LI-IB1

Benefits

Our total compensation package includes benefits, including but not limited to:

  • Medical, Dental, and Vision plans for employees and their families
  • 31 Days of PTO (21 vacation days and 10 sick days)
  • 10 Paid holidays, plus company-wide winter break
  • Up to 5% employer 401(k) match
  • Short term disability, long term disability, and life insurance
  • Paid parental leave and support (up to 16 weeks)
  • Annual wellness stipend

Helion is an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need assistance or an accommodation during the interview process, please let us know.

Source: Helion careers (Ashby)

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