Senior Software Engineer

Gradial•Seattle, WA

7h•$130,000 - $220,000

About The Position

Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint. Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here. The Role Gradial is looking for a Senior Software Engineer to lead the development of AI-native systems that redefine how creative teams build and update websites. As an early engineer, you’ll be integral to figuring out how to use and program LLMs to redefine how people do work. You’ll play a key role in shaping our technical direction, working closely with product and design to bring powerful, intuitive tools to life. This is an opportunity to help architect the foundation of a fast-moving product and contribute to a high-agency, low-ego team focused on real-world impact.

Requirements

5+ years of professional experience
Proven experience delivering complex systems in fast-paced or ambiguous environments
Deep technical expertise in algorithms, distributed systems, and software design
Strong communication skills and the ability to influence across functions
Experience solving high-variance or unstructured problems with elegant, product-minded solutions
Background in math, physics, systems engineering, or other technical domains
High ownership mindset with a track record of going from 0→1

Nice To Haves

Experience in high-growth or early-stage startups
Familiarity with AI/ML tooling and LLMs
Proficiency with TypeScript or similar languages

Responsibilities

Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
Drive technical direction across the stack - from backend systems to front-end UX—with a focus on performance, scalability, and long-term maintainability
Design systems that learn over time - integrating customer feedback, usage data, and brand preferences
Mentor and guide other engineers; influence engineering culture, standards, and best practices
Collaborate with design and product to reshape the software in real-time; adding/removing features or adjusting layout on the fly
Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
Operate without silos: own the problem and the solution from end to end