Gradial

AI-native content operations

PrincipalSoftwareEngineer

$160–250k Seattle, Washington, United States; Portland, Oregon, United States; Springfield, Illinois, United States; Toronto, Ontario, Canada; Bangalore, Karnataka, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Principal Software Engineer at Gradial. Skills: AI-native systems architecture, LLM integration, generative AI frameworks, distributed systems, scalable software design, technical leadership. Define and drive the technical architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI. Lead the design, implementation, and scaling of LLM agents for real-time inference, dynamic prompting, memory management, and tool orchestration”

Industry & Context.

AI native content operations
Problems you'll solve

solve hard problems from first principles; solving hard problems; solving real-world problems at scale

What They're Looking For.

Must Have

8+ years of professional software engineering experience, significant leadership of complex technical initiatives, Deep expertise in distributed systems, Deep expertise in algorithms, Deep expertise in scalable software design, Proven track record architecting and shipping systems in fast-moving, high-ambiguity environments, Hands-on experience with LLM integration, Hands-on experience with generative AI frameworks, Hands-on experience with building AI-native applications, communication and cross-functional leadership skills, High-agency, ownership-driven mindset, passion for solving real-world problems at scale, Background in technical fields such as computer science, mathematics, physics, or systems engineering

Nice to Have

Experience building or scaling AI agent architectures for production environments, Prior experience in early-stage startups where you owned both strategy and execution, Passion for designing systems that blend technical sophistication with elegant, intuitive user experiences

What You'll Do.

Define and drive the technical architecture for systems that convert natural language into intelligent

multi-step workflows using generative AI

and scaling of LLM agents for real-time inference

and tool orchestration

Set engineering standards and influence system design across the stack

Design learning systems that integrate customer feedback

and brand preferences to evolve autonomously over time

Mentor senior engineers

Collaborate deeply with product and design leaders to rethink how interfaces and features dynamically adapt to user intent

Champion best practices in testing

and operational excellence

ambiguous problem spaces from end to end

How You'll Work.

Team & Collaboration

work closely with engineering, product, and design leaders; Collaborate deeply with product and design leaders

Communication Scope

communication and cross-functional leadership skills; ability to influence technical and non-technical audiences

Full Job Description

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 seeking a Principal Software Engineer to drive the architecture and technical vision behind AI-native systems that transform how creative teams build and update websites. As a foundational technical leader, you’ll push the boundaries of how LLMs can power real-world workflows and reimagine the intersection of language, software, and creativity. You’ll work closely with engineering, product, and design leaders to shape not just features, but the technical backbone and strategic direction of the company. This is a rare opportunity to set the blueprint for a fast-evolving product in a high-agency, low-ego environment committed to solving hard problems from first principles. What You'll Own Define and drive the technical architecture for systems that convert natural language into intelligent, multi-step workflows using generative AI. Lead the design, implementation, and scaling of LLM agents for real-time inference, dynamic prompting, memory management, and tool orchestration. Set engineering standards and influence system design across the stack, with a focus on performance, reliability, and long-term extensibility. Design learning systems that integrate customer feedback, usage data, and brand preferences to evolve autonomously over time. Mentor senior engineers, fostering a culture of technical excellence, rapid iteration, and ownership. Collaborate dee

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