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Cover is a fast-growing Insurtech startup making pension and insurance management simple, transparent, and optimized for individuals and businesses.
We are looking for an engineer with hands-on experience building production-grade AI and Agentic systems to join our R&D team. This is a hands-on engineering role focused on discovering automation opportunities, designing multi-agent systems, and building autonomous workflows that interact with our core data.
What you'll do
Process & Task Mining: Discover repetitive workflows and identify automation opportunities using hands-on Process Mining / Task Mining.
Build Autonomous Workflows: Create long-running and autonomous AI workflows with state, memory, planning, retries, and human-in-the-loop.
Design Multi-Agent Systems: Build and orchestrate multi-agent systems, including agent collaboration and specialized agents.
Develop Tool-Using Agents: Build agents that interact with databases, APIs, and internal organizational systems — not just chatbots.
Drive Actionable Insights: Build agents that can reason across data from multiple departments and systems and turn insights into actions.
Requirements
Experience: Hands-on experience building production-grade AI and Agentic systems.
Knowledge Retrieval: Strong understanding of RAG, Context Engineering, Agent Memory, and Knowledge Retrieval.
Data Discovery: Experience with organizational data discovery across structured and unstructured data sources.
Reliability & Evaluation: Experience with agent evaluation, observability, tracing, guardrails, and reliability.
Production Mindset: Experience taking Agentic AI systems from POC to production, including scalability, security, permissions, and monitoring.