Software Engineer, Agent Development

Designing and building production-grade AI agents and autonomous marketing workflows across the ActiveCampaign platform

Implementing multi-step agentic flows involving LLM orchestration, tool use, and integration with platform services

Working with LLM APIs (prompt engineering, response handling, evaluation) and building reliable, testable agent pipelines

Designing and running agent evaluations — building eval frameworks, defining quality metrics, and continuously measuring agent accuracy, reliability, and performance in production at scale

Monitoring and optimizing agent performance — latency, cost, token usage, error rates — and iterating rapidly based on production dataIterating on agent behavior based on user feedback, observability data, and quality metrics

Leveraging AI-assisted development tools and practices in your daily workflow — you don't just build AI features, you build with AI

Writing production-quality code in Python for agent services and backend orchestration

Contributing to PHP backend and frontend (React/Ember) integration points where agents interact with the core platform

Building and maintaining APIs, data flows, and service interfaces that agents depend on

Working iteratively — shipping code fast, learning from production, and improving continuously

Ensuring code quality through testing, code review, and adherence to engineering standards

Participating in on-call rotation for incidents related to agent services

Working closely with Product, Design, and domain engineering teams to define agent capabilities and user experiences

Engaging in pairing and code reviews across teams

Contributing to documentation of agent architectures, patterns, and best practices

Maintaining regular overlap with US-based teams (Chicago timezone) to ensure alignment and tight collaboration across the organization