Gradial
Senior Software Engineer
Seattle, WA · Senior
Sponsorship not specified$130k-$220kDetected 7 days ago
TypeScriptDistributed SystemsAlgorithmsMachine LearningLLMsDesign SystemsSystems EngineeringCommunicationProblem Solving
About the role
- As an early engineer, you'll be integral to figuring out how to use and program LLMs to redefine how people do work.
- 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.
Responsibilities
- own the problem and the solution from end to end
- 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.
- Lead the design and implementation of systems that convert natural language into intelligent, multi-step workflows using generative AI
- 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
- Collaborate with design and product to reshape the software in real-time; adding/removing features or adjusting layout on the fly
- Operate without silos: own the problem and the solution from end to end
- A front-row seat to building category-defining AI infrastructure
- Have an innate drive for being 1% better than the day before, building towards greatness.
- Thrive in fast-paced, hyper-growth environments where building better > maintaining status quo.
Requirements
- 5+ years of professional experience
- Proven experience delivering complex systems in fast-paced or ambiguous environments
- Strong communication skills and the ability to influence across functions
- Experience solving high-variance or unstructured problems with elegant, product-minded solutions
- High ownership mindset with a track record of going from 0→1
Nice to have
- Experience in high-growth or early-stage startups
- Familiarity with AI/ML tooling and LLMs
- Proficiency with TypeScript or similar languages
- Final compensation will be determined based on factors such as experience, skills, and qualifications.
Skills
- Architect and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration
- Mentor and guide other engineers; influence engineering culture, standards, and best practices
- Ensure scalability, reliability and performance through strong testing, deployment, and observability practices
Compensation
- Competitive salary and meaningful equity
Benefits
- Competitive salary and meaningful equity
- Comprehensive health, dental and vision coverage
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This listing is sourced directly from Gradial's careers page and normalized into a canonical job model.