AI Engineering Manager
doolaFull Time
Junior (1 to 2 years)
Candidates should have 8+ years of experience in software engineering, with a strong focus on product-mindedness, curiosity, and building with LLMs. Experience in defining how software is built using prompts, evaluations, hill-climbing, and fast feedback loops is required. Familiarity with the latest AI advancements and translating them into strategic opportunities is also necessary.
The Engineering Lead, AI Product will shape the product roadmap for AI features, driving ambitious projects like memory and agentic capabilities. They will lead, architect, and execute cutting-edge LLM-powered features, ensuring decisions are grounded in user impact and business value. Responsibilities include supporting and mentoring product and ML engineers, driving AI quality through systems and evaluations, integrating and experimenting with the latest AI models, and improving engineering-wide processes and architecture. The role also involves delivering high-craft, interaction-rich user experiences.
Develops a user-friendly web browser
The Browser Company develops a web browser called Arc, which focuses on providing a more intuitive and organized online experience for users. Arc is designed to be user-friendly and efficient, aiming to improve how people interact with the internet compared to traditional browsers. Unlike many existing browsers, Arc seeks to streamline the browsing process, making it easier for users to manage their online activities. The Browser Company differentiates itself from competitors by targeting a more modern and simplified user experience, backed by a team of experienced professionals from notable tech companies. Their goal is to enhance the way users navigate the web, potentially disrupting the current browser market with their fresh approach.