Gradial
AI-native content operations
PrincipalSoftwareEngineer
“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.
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
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