At Serif, we're building the first truly functional personal agent powered by applied AI. As a Founding Engineer, you'll work directly with our core team to establish the technical foundation of our product. You'll tackle complex AI integration challenges and help create systems that manage users' lives comprehensively, reducing stress and enabling more successful one-person businesses.
Some of the challenging technical problems you'll help solve include:
Building reliable agent systems that can handle complex, multi-step tasks
Designing robust integration frameworks for connecting with various digital services
Creating seamless user experiences that build trust in autonomous AI actions
Implementing sophisticated context management and memory systems that sync across all surfaces
We're assembling a world-class engineering team to transform how people interact with AI. If you're passionate about pushing the boundaries of AI agents and creating technology that meaningfully improves people's lives, we want to talk to you.
Responsibilities
Design and implement core infrastructure for our AI agent platform
Build robust integration systems for connecting with external services and APIs
Develop reliable agent execution frameworks that can handle complex tasks
Create intuitive interfaces for users to interact with their personal agent
Optimize for performance, reliability, and security across our systems
Collaborate with AI researchers to implement cutting-edge agent capabilities
Help establish engineering best practices and technical direction
You might be a good fit if you have:
3~5 years of experience at hypergrowth startup
Strong software engineering experience with modern web technologies
Experience building and scaling backend systems
Background in working with AI/ML systems or integrating with AI APIs
Comfort with ambiguity and rapidly evolving technical requirements
Passion for creating AI systems that genuinely help people
Strong candidates may also have:
Experience building autonomous agent systems or AI applications
Background in natural language processing or large language models
Knowledge of modern AI frameworks and infrastructure
History of working in early-stage startups and wearing multiple hats
Experience building and scaling backend systems to support real-world production workloads
Top Skills
What We Do
"People have a voracious appetite for a better way, and yesterday’s ‘wow’ quickly becomes today’s ‘ordinary’."
