About CONXAI CONXAI has built a no-code, agentic AI platform for the AEC and physical industries, focused on knowledge-automation. We automate high-stakes, knowledge-intensive workflows traditionally trapped in siloed data, fragmented tools and tacit (undocumented) human expertise.

Our multi-agent systems perform complex reasoning in the physical world; and transform bespoke, service-heavy processes into scalable Service-as-a-Software automation.

CONXAI is trusted by some of the leading AEC companies in Europe, US, LATAM and Japan.

The Role

As a Product Engineer, you sit at the intersection of core engineering, ML R&D and the customer. Your goal is to transform complex agentic capabilities into reliable, production-ready features that solve industry problems.

• Rapid Prototyping: Develop functional PoCs and MVPs to validate product hypotheses before full-scale engineering commitment
• Technical Implementation: Translate high-level product roadmaps into functional system architectures and production code
• Observability & Tooling: Build internal diagnostic tools to track how AI agents perform in real-world customer workflows
• Problem Solving: Act as the first responder for complex technical issues. You’ll jump into the codebase to debug, tweak database schemas or adjust cloud configurations to resolve customer friction in real-time
• Technical Bridge: Act as the technical counterpart to the Product Manager, as well as the primary technical partner for the sales and customer success teams
• System Ownership: Maintain the technical health of our platform across the stack, from AWS and Kubernetes infrastructure to Python/Go backend logic

What We’re Looking For

• Engineering Background: 4+ years of experience in software engineering, with high proficiency in Python or Go and comfortable working across the full stack to ship features and fixes independently
• Education: Degree in Computer Engineering, Computer Science or equivalent experience building and maintaining production-grade systems in a fast-paced environment
• Infrastructure & DevOps: Practical experience managing cloud environments using AWS, Kubernetes and Terraform
• Data Fluency: Ability to query and analyze system logs and performance data to identify bottlenecks in the user journey
• AI Native: You have integrated AI tools deeply into your workflow to automate repetitive tasks, debug faster and increase your personal engineering velocity
• Execution Focus: You have a "systems-first" mindset and enjoy designing the structures and "Minimum Viable Processes" that allow a technical team to move fast without sacrificing reliability.

Why CONXAI

• Edge of Innovation: Be at the forefront of automating the physical world's most complex industries
• High Autonomy: High influence over the tech stack and the implementation patterns of our agentic framework.
• Top-Tier Peer Group: Work with a global team of ML engineers, software engineers and industry practitioners
• Equity & Scale: Competitive compensation with significant equity upside