Hiring: Staff Software Engineer ($280k-$380k + Equity) at Tasklet Company: Jack & Jill Location: San Francisco, CA Job Posted Time: 2026-09-15 18:06:03 Employment Type: Remote Target Skills & Keywords : Go, LLM, Make, QUIC About the job Required Skills: •As a Staff Software Engineer at Tasklet, you will architect the next generation of core agent infrastructure. You’ll design features that integrate LLMs with virtual machines and storage, lead the engineering of high-performance context systems, and define the abstractions that enable the entire team to ship reliable agentic software at scale. •Remote, Global •Why this role is remarkable •Lead the architecture of a high-stakes AI operating system with outsized ownership and a generous equity stake of up to 0.8%. •Work at the frontier of context engineering, solving the hardest technical challenges in the AI agent space alongside world-class engineers. •Join a high-growth startup where you have the agency to define technical standards and build production-grade systems from the ground up. •What You Will Do •Architect and continuously improve the core technical infrastructure that powers Tasklet's sophisticated cloud-based AI agents. •Design and ship innovative agent features by orchestrating LLMs, virtual machines, and external integrations into cohesive systems. •Establish robust abstractions and engineering standards that allow the broader engineering team to build and deploy at high velocity. •The ideal candidate •Proven track record as a technical lead for large-scale cloud systems currently in production with strong distributed systems expertise. •Exceptional AI-native programming skills and a deep understanding of modern LLM-based agent architectures and context engineering. •Startup-ready mindset with the ability to solve complex infrastructure problems and navigate the fast-paced evolution of AGI technology. •Who are Jack & Jill? Compensation: •$280k-$380k + Equity •Company Description •Tasklet is an ambitious AI startup building the cloud agent OS for work, orchestrating LLMs, virtual machines, and storage infrastructure to automate complex professional tasks. The team is creating a seamless environment where AI agents feel like magic through sophisticated system design and world-class context engineering. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!