
Senior Software Engineer, Agentic Engineering
Posted Aug 27

Posted Aug 27
This is a fully remote position, open to applicants in United Kingdom, +2 more countries.
• Design and develop production systems using Go, while also engaging with React and TypeScript as necessary.
• Enhance agent execution, tool utilization, context management, streaming capabilities, and long-duration workflows.
• Expand the provider-agnostic architecture to adapt to evolving models and functionalities.
• Create dependable integrations between agents, workspaces, tools, and developer infrastructure.
• Take ownership of projects from their implementation phase through to rollout and iterative improvements.
• Participate in design reviews, code evaluations, and technical discussions.
• Collaborate with Product and Design teams to transform agent capabilities into valuable developer experiences.
• Enhance the reliability, performance, and operability of agentic systems.
• Significant experience in building and managing production software systems.
• Practical experience with Go programming.
• Familiarity with React and TypeScript.
• Experience in developing systems focused on LLMs or agentic workflows.
• Knowledge of model APIs, tool invocation, context management, or agent loops.
• Strong understanding of distributed systems and production reliability.
• Proficiency in AWS.
• Excellent problem-solving abilities and comfort navigating technical uncertainties.
• Contributions to team efforts beyond personal coding through reviews, collaboration, and knowledge exchange.
• Background in coding agents, developer tools, or cloud development environments (a plus).
• Experience with MCP, agent tools, or multi-agent systems (a plus).
• Familiarity with remote execution, sandboxing, or isolated computing (a plus).
• Experience in building integrations among various model providers (a plus).
• Knowledge of AWS, Kubernetes, Docker, or Linux (a plus).
• Contributions to open-source projects or direct customer engagement experience (a plus).
• Equity.
• Bonus.
• Transparent interview process.
• Interview process aimed at completion within two to four weeks, subject to scheduling.
• AI tools allowed for take-home assessments.
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