Mid-Senior Agent Harness Engineer, Python, TypeScript
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Job Description
Mid-Senior Agent Harness Engineer developing AI agent infrastructures for a collaborative platform in Poland. Seeking engineers to scale AI-powered tasks across business tools.
Responsibilities:
- Build Agent Runtime Systems; Develop and improve agent runtimes
- Design tool orchestration frameworks
- Build memory and context management systems
- Implement verification loops and agent self-checking mechanisms
- Improve reliability and execution accuracy
- Ship Integrations; Build integrations with business platforms and APIs
- Implement OAuth, webhooks, schema mapping, and data synchronization
- Create reliable workflows that operate on real customer data
- Support integrations across platforms such as: Salesforce, HubSpot, Stripe, Shopify, QuickBooks, Notion, Microsoft Teams, Slack
- Manage containerized workloads
- Improve scalability and system reliability
- Optimize infrastructure performance and operational costs
- Support high-volume production workloads
- Ship user-facing features directly into production
- Collaborate directly with founders and product stakeholders
- Own technical surfaces end-to-end
Requirements:
- Experience building or significantly modifying AI agents
- Strong Python development skills
- Strong TypeScript development skills
- Experience with agent architectures and orchestration systems
- Experience shipping production software rapidly
- Strong systems thinking and architectural decision-making abilities
- Experience working with APIs, integrations, and distributed systems
- Strong understanding of AI-assisted development workflows
- Open-source contributions within AI ecosystems (preferred)
- Experience with developer tooling and automation (preferred)
- Experience creating custom agent workflows, MCP servers, or CLI tooling (preferred)
- Infrastructure and DevOps experience (preferred)
- Experience with Slack or Microsoft Teams applications (preferred)
- Previous startup or founder experience (preferred)
- Deep interest in AI systems, evaluation methodologies, and emerging models (preferred)
Benefits:
- Competitive compensation package
- Meaningful early-stage equity
- Direct collaboration with founders
- High ownership and autonomy
- Opportunity to build core AI technology used by real customers
- Fast product feedback cycles
- Remote-first work environment within Poland
- Exposure to cutting-edge AI systems and infrastructure
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