Business Services & Consulting • all cities, UT 45
Principal Engineer at Rivulo.ai (45)
all cities, UT 45On-sitePosted 22 hours ago
Business Services & Consulting
About the Role
Principal Engineer
As the first technical hire, you will own the architectural evolution of an agentic workflow platform. Transitioning the codebase from the technical co-founder, you'll build robust systems that convert real-world behaviors into reliable AI automations. You will bridge the gap between complex LLM orchestration and seamless user experiences for non-technical teams.
Location: London, UK
Why this role is remarkable:
Take total technical ownership as the first engineering hire, working directly with experienced founders who have multiple successful exits.
Build at the cutting edge of AI, moving beyond simple wrappers to create complex, multi-model orchestration and autonomous browser automation systems.
Experience a high-trust, radical transparency culture with self-management, full financial visibility, and the autonomy to make major architectural decisions without red tape.
What you will do:
Evolve the platform architecture from v1 MVP to a scalable, production-grade system capable of handling thousands of concurrent AI workflows.
Design and implement sophisticated LLM integrations, focusing on prompt engineering, token management, and real-time streaming reliability across OpenAI, Anthropic, and Google APIs.
Collaborate directly with customers to understand friction points, translating messy real-world operational needs into elegant, automated agent-led systems.
The ideal candidate:
Expert full-stack engineer with deep TypeScript/JavaScript proficiency and professional experience (or a strong willingness to master) PHP/Laravel 12.
Proven track record in AI Engineering, including hands-on experience with LLM context window optimization, rate limiting, and building resilient retry logic for real-time interfaces.
Entrepreneurial builder who thrives in autonomous environments, possesses a "founder mindset," and is comfortable jumping into product or support tasks to drive company growth.
Principal Engineer
As the first technical hire, you will own the architectural evolution of an agentic workflow platform. Transitioning the codebase from the technical co-founder, you'll build robust systems that convert real-world behaviors into reliable AI automations. You will bridge the gap between complex LLM orchestration and seamless user experiences for non-technical teams.
Location: London, UK
Why this role is remarkable:
Take total technical ownership as the first engineering hire, working directly with experienced founders who have multiple successful exits.
Build at the cutting edge of AI, moving beyond simple wrappers to create complex, multi-model orchestration and autonomous browser automation systems.
Experience a high-trust, radical transparency culture with self-management, full financial visibility, and the autonomy to make major architectural decisions without red tape.
What you will do:
Evolve the platform architecture from v1 MVP to a scalable, production-grade system capable of handling thousands of concurrent AI workflows.
Design and implement sophisticated LLM integrations, focusing on prompt engineering, token management, and real-time streaming reliability across OpenAI, Anthropic, and Google APIs.
Collaborate directly with customers to understand friction points, translating messy real-world operational needs into elegant, automated agent-led systems.
The ideal candidate:
Expert full-stack engineer with deep TypeScript/JavaScript proficiency and professional experience (or a strong willingness to master) PHP/Laravel 12.
Proven track record in AI Engineering, including hands-on experience with LLM context window optimization, rate limiting, and building resilient retry logic for real-time interfaces.
Entrepreneurial builder who thrives in autonomous environments, possesses a "founder mindset," and is comfortable jumping into product or support tasks to drive company growth.
What You'll Do
Take total technical ownership as the first engineering hire, working directly with experienced founders who have multiple successful exits.
Build at the cutting edge of AI, moving beyond simple wrappers to create complex, multi-model orchestration and autonomous browser automation systems.
Experience a high-trust, radical transparency culture with self-management, full financial visibility, and the autonomy to make major architectural decisions without red tape.
Evolve the platform architecture from v1 MVP to a scalable, production-grade system capable of handling thousands of concurrent AI workflows.
Design and implement sophisticated LLM integrations, focusing on prompt engineering, token management, and real-time streaming reliability across OpenAI, Anthropic, and Google APIs.
Collaborate directly with customers to understand friction points, translating messy real-world operational needs into elegant, automated agent-led systems.
