Remotery

Mid-Senior Harness Engineer, Python, TypeScript

Posted Jun 13

This is a fully remote position, open to applicants in Poland.

📋 Description

• Develop Agent Runtime Systems; Enhance and refine agent runtimes

• Design frameworks for tool orchestration

• Construct systems for memory and context management

• Implement verification loops and mechanisms for agent self-assessment

• Enhance reliability and accuracy of execution

• Deliver Integrations; Create integrations with business platforms and APIs

• Implement OAuth, webhooks, schema mapping, and data synchronization

• Develop dependable workflows that utilize actual customer data

• Support integrations across various platforms including: Salesforce, HubSpot, Stripe, Shopify, QuickBooks, Notion, Microsoft Teams, Slack

• Oversee containerized workloads

• Improve scalability and system dependability

• Optimize the performance of infrastructure and reduce operational costs

• Support production workloads with high volume

• Deliver user-facing features directly to production

• Work across backend, frontend, integrations, and deployment systems

• Collaborate closely with founders and product stakeholders

• Manage technical surfaces from start to finish


⛳️ Requirements

• Proven experience in building or significantly modifying AI agents

• Proficient in Python development

• Proficient in TypeScript development

• Familiarity with agent architectures and orchestration systems

• Experience in rapidly shipping production software

• Strong abilities in systems thinking and architectural decision-making

• Experience working with APIs, integrations, and distributed systems

• Solid understanding of AI-assisted development workflows


🏝️ Benefits

• Competitive compensation package

• Meaningful equity in the early stages

• Direct collaboration with founders

• High levels of ownership and autonomy

• Opportunity to develop core AI technology utilized by real customers

• Rapid product feedback cycles

• Remote-first work environment within Poland

• Exposure to cutting-edge AI systems and infrastructure

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