Software Engineer, AI Agents

Blockit, Inc.
San Francisco, CA, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Software Debugging Large Language Models Agentic-AI

Job description

About BlockitTime is the the most valuable resource we have, yet coordinating it remains stuck in the dark ages. At Blockit, we’re building the AI that finally fixes this: an autonomous time agent that handles the full complexity of scheduling-timezones, group coordination, in-person logistics-like an executive assistant that never sleeps.While every LLM application to date has been a one-on-one conversation, Blockit is one of the first multiplayer, stateful AI agents-coordinating between multiple people, maintaining context across conversations, and taking real actions in the world. As more people connect their calendars, our network becomes exponentially more powerful.This is the foundation of a platform of AI agents with access to the world’s time. We’re backed by Sequoia, and we’re a small, sharp team that moves fast, ships constantly, and holds a high bar. If you want to build something genuinely new, we’d love to talk.You can visit our teams page to learn more about our team and culture!The roleYou’ll own the intelligence at the core of Blockit: our scheduling agents that autonomously coordinate meetings across people, time zones, and constraints.This includes designing and iterating on agent architectures, writing and refining prompts, building evaluation frameworks, and shipping new capabilities as models improve. You’ll work across our orchestrator agents (which manage conversation flow) and specialized sub-agents, with the goal of making Blockit smarter, faster, and capable of handling increasingly complex coordination problems.You’ll be architecting and building real-world AI agents used in production.What you’ll doWrite and refine prompts across our agent system-orchestrators, sub-agents, and toolsBuild and maintain evals to measure agent quality and catch regressionsDebug agent failures: figure out why it misunderstood a request or made a bad callImplement new agent capabilities as user needs expandExperiment with new architectures and techniques as models improveInstrument and analyze agent behavior to find patterns and failure modesWhat we’re looking for2+ years of experience shipping and owning production softwareStrong backend engineering skills, with the ability to work across the stack when neededExperience working with LLMs in production systems (or a demonstrated ability to learn quickly in this space)Deep curiosity about agent architectures and how the industry is evolving beyond simple prompt-based systemsClear, structured communicator who can explain what’s working, what isn’t, and whyLocationSan Francisco, CA. On-site 4 days per week

Requirements

  • 2+ years of experience shipping and owning production software
  • Strong backend engineering skills, with the ability to work across the stack when needed
  • Experience working with LLMs in production systems (or a demonstrated ability to learn quickly in this space)
  • Deep curiosity about agent architectures and how the industry is evolving beyond simple prompt-based systems
  • Clear, structured communicator who can explain what’s working, what isn’t, and why

About the company

Time is the the most valuable resource we have, yet coordinating it remains stuck in the dark ages. At Blockit, we’re building the AI that finally fixes this: an autonomous time agent that handles the full complexity of scheduling-timezones, group coordination, in-person logistics-like an executive assistant that never sleeps.

While every LLM application to date has been a one-on-one conversation, Blockit is one of the first multiplayer, stateful AI agents-coordinating between multiple people, maintaining context across conversations, and taking real actions in the world. As more people connect their calendars, our network becomes exponentially more powerful.

This is the foundation of a platform of AI agents with access to the world’s time. We’re backed by Sequoia, and we’re a small, sharp team that moves fast, ships constantly, and holds a high bar. If you want to build something genuinely new, we’d love to talk.

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