Full-Stack Engineer

Acceler8 Talent; Seattle (WA); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Acceler8 Talent is seeking a Full-Stack Software Engineer for its AI infrastructure platform in Seattle. The role combines front-end dashboards, APIs and back-end services within a startup environment.

You will collaborate with ML and hardware engineers and contribute to AI inference and performance engineering as the platform evolves. This hybrid Seattle position offers exposure to AI infrastructure and accelerators in a small team.

Qualifications

• 3–5+ years of full-stack software engineering experience.
• Strong experience in front-end frameworks, back-end development and API design.
• Experience building and maintaining production software.
• Startup experience and an interest in AI infrastructure are highly desirable.
• Experience in ML systems or inference optimisation is advantageous, but not required.

Responsibilities

• Build and maintain front-end dashboards, user interfaces and back-end services.
• Develop scalable APIs and software infrastructure.
• Collaborate with ML and hardware engineers on platform development.
• Contribute to AI inference and performance engineering as the platform evolves.

Skills

Full-stack engineering

Front-end frameworks

Back-end development

API design

Production software

Startup experience

ML/inference optimisation

Job description

Full-Stack Software Engineer - AI Infrastructure / Inference Platforms

Seattle, Washington, United States (Hybrid)

I'm working with an early-stage AI infrastructure company developing next-generation LLM inference technology, combining software and custom accelerator hardware to reduce compute costs and energy consumption.

They're looking for a Full-Stack Software Engineer with strong front-end and back-end experience and an interest in AI infrastructure.

The role:

• Build and maintain front-end dashboards, user interfaces and back-end services.
• Develop scalable APIs and software infrastructure.
• Collaborate with ML and hardware engineers on platform development.
• Contribute to AI inference and performance engineering as the platform evolves.

What they're looking for:

• 3–5+ years of full-stack software engineering experience.
• Strong experience in front-end frameworks, back-end development and API design.
• Experience building and maintaining production software.
• Strong engineering fundamentals and problem-solving ability.
• Startup experience and an interest in AI infrastructure are highly desirable.
• Experience in ML systems or inference optimisation is advantageous, but not required.

Why consider it?

• Join an early-stage AI company building next-generation inference technology.
• Work alongside founders from Apple, Meta and Xnor.ai.
• Own core software development within a small engineering team.
• Gain exposure to AI infrastructure, custom accelerators and performance optimisation.

Location: Seattle, Washington - Hybrid.