Software Engineer (Mid-level to Staff+)

Product

• Build Tasklet’s user-facing product across web, mobile, and other surfaces.
• Invent clear interactions for delegating work to agents, following their progress, handling uncertainty, and using their output.
• Own features end to end, from early product thinking through polished production software.
• Prototype quickly, learn from customers, and turn the best ideas into durable systems.

Platform

• Build backend APIs and services that power Tasklet’s product.
• Develop core systems for identity, workspaces, sharing, permissions, billing, payments, and analytics.
• Build reliable infrastructure for connectors, authentication, webhooks, automations, and third-party integrations.
• Design simple abstractions and data models that can support a fast-changing product.
• Own systems in production and improve their correctness, security, reliability, and operational simplicity.

AI Infrastructure

• Build the agent harness, including orchestration, tool execution, state, evaluation, and failure recovery.
• Develop context-management, filesystem, memory, storage, and sandboxed-execution systems.
• Work on model routing and serving, databases, Kubernetes, networking, queues, and cloud infrastructure.
• Make long-running agent workloads faster, safer, more reliable, and more cost-efficient.
• Turn fast-moving advances in models and agent systems into robust production capabilities.

For all three areas, you’ll work across the stack and across role boundaries whenever that is the best way to solve the problem.

Who you are

• You’re an exceptional problem solver with strong computer-science fundamentals.
• You reason from first principles, form clear mental models, and see how parts interact within a larger system.
• You’ve shipped meaningful, high-quality production software and owned it after launch. You can debug a problem wherever it leads.
• You care about both clean design and real outcomes, whether that means product craft, performance, correctness, security, reliability, safety, cost, or operational simplicity.
• You learn quickly, operate well with ambiguity, and prefer responsibility over process.
• You use AI deeply in your own work. We don’t require prior professional AI experience, but we do expect you to already be seriously engaged: using current models, probing their limits, following the field closely, and forming your own views about where AI systems are going and how they should work.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.