Job Opportunities API

Ready to build AI agents that understand context, use tools, and take action? Hi, we’re Aaro and Petri from Agileday’s product and engineering team. We’re looking for 2–3 AI Agent Developers to build the next generation of AI-powered product experiences for professional services. Agileday is the AI operating platform for professional services. Our product connects people, skills, staffing, sales, projects, time, and financials in one real-time platform. AI is already deeply embedded in Agileday. Our product supports intelligent staffing, skills inference, forecasting, recommendations, content generation, and agent-driven workflows. Through our permission-aware MCP layer, AI systems can access live operational context and safely execute actions across the platform. This gives you the opportunity to build agents across interconnected business data and workflows rather than around a single dataset or narrow use case. The agents you build will be part of the core Agileday product and used in real customer workflows. Prompting and working with coding agents are part of how we build software every day. You won’t create these systems through prompting alone, but you should be highly comfortable using AI to explore ideas, design solutions, write and review code, test, debug, and ship. The role and the team around you You’ll join Agileday’s product and engineering team, working across software engineering, agent architecture, and product development. You’ll own agent capabilities from exploration to production: identifying valuable use cases, shaping the architecture, building the solution, evaluating its behaviour, and improving it through real-world usage. We’re hiring developers with different areas of depth, from hands-on product engineering to agent architecture, evaluation, and production reliability. What matters is your ability to build, take ownership, and contribute to our technical direction. Agileday is a growing international SaaS company of around 25 people, with most of the team focused on the product. You’ll work with strong technical peers, stay close to customer insight, and have real influence over how both the product and our AI capabilities evolve. What you’ll work on Design and build agents that understand intent, access operational context, use tools, and complete multi-step tasks Define how agents, data, context, permissions, memory, and workflows work together across the platform Build evaluation and observability capabilities for measuring reliability, grounding, tool use, latency, cost, and task completion Design for uncertainty, failure recovery, human oversight, and the right balance between agent autonomy and user control Turn successful experiments into secure, scalable, and maintainable production capabilities You’ll thrive in this role if you: Have a strong software engineering background and have built AI agents or agent-driven workflows that use tools, context, and multi-step execution Understand how to take agents from prototype to reliable, observable, and secure production software Can reason deeply about agent architecture, permissions, evaluation, failure modes, and the balance between autonomy and user control Use AI and coding agents as an active part of how you design, build, test, and ship software Move confidently between hands-on implementation, system design, and product decisions Take ownership, bring strong technical judgement, and help shape patterns and tools that are still being defined Bring experience with MCP, multi-agent systems, AI observability, or evaluation You don’t need to specialise in everything, but you should have clear evidence that you can build effectively with agents and turn emerging AI capabilities into reliable product experiences. Our stack React TypeScript Styled-components Go PostgreSQL REST APIs Google Cloud Platform We also use: Figma · Git