Software Engineer, Internal AI Tools

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