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Build and maintain internal applications and automation systems to streamline business functions like HR, Finance, and Operations. Develop AI-powered workflows using LLM APIs and integrate third-party platforms to improve data processing and operational efficiency.
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.
Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.
Build and maintain internal applications and automation systems for Recruiting, HR, Finance, Operations and other business functions
Identify manual processes that can be automated and define technical solutions based on business requirements
Develop AI-powered workflows using LLM APIs, agents and external tool integrations where appropriate
Build backend services, APIs, databases and interfaces to support internal applications
Integrate internal systems and third-party platforms to automate data processing, approvals and routine tasks
Deploy, monitor and improve internal tools based on reliability, accuracy, usage and time saved
3+ years of software engineering experience in backend, full-stack or application development
Able to translate business workflows and operational problems into practical software solutions
Proficient in at least one backend or full-stack programming language, such as Python, TypeScript or JavaScript
Able to design and build APIs, database-backed applications and integrations with third-party services
Experience deploying and maintaining production systems, diagnosing failures and improving reliability
Able to work directly with non-technical stakeholders to understand requirements, validate solutions and deliver measurable improvements
Experience building AI applications using LLM APIs, agents or workflow orchestration frameworks
Experience developing internal tools, business automation or enterprise integrations
Familiarity with HR, recruiting, finance or operations systems
Experience with workflow automation platforms such as n8n, Zapier or Make
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