
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 and industrial enterprises in the US, Europe, LATAM and Japan.

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 and industrial enterprises in the US, Europe, LATAM and Japan.
Sector: AI for construction (AEC) / physical industries
Product: No-code, multi-agent AI platform for knowledge automation and workflow automation
HQ: Karlsfeld/Munich, Germany
Founding year: 2021
Known funding: Seed €2.0M (Nov 2023)
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Fragmented construction project data and undocumented human expertise that hinder automation, decision-making, and knowledge transfer in AEC and industrial enterprises.
2021
Construction technology / AEC AI
€2.0M
Investors in the round include Earlybird Venture Capital, Pi Labs, Argonautic Ventures, noa, and Zacua Ventures.
“Backed by multiple institutional VCs including Earlybird and Pi Labs”
We are developing an AI Platform for the Architecture, Engineering, and Construction (AEC) industry. Our platform leverages advanced AI algorithms to enable construction domain experts to create complex use cases efficiently.
Are you an experienced Backend Engineer with expertise in Python, Django, Golang, PostgreSQL, and AWS? Are you passionate about designing and building scalable backend solutions and API interfaces?
Tasks
As a Senior Backend Engineer , you will contribute to the development of our cloud-based solution, processing and managing large amounts of data across multiple customers.
Architect and design scalable backend solutions and API interfaces
Develop robust and performant backend systems using Golang, Python(Django), Rust, MongoDB and PostgreSQL
Collaborate with cross-functional teams to ensure seamless integration of frontend and backend components
Implement RESTful JSON APIs for efficient data communication
Deploy and manage cloud infrastructure on AWS, including Kubernetes and EKS
Utilise AWS services for secure user authentication and authorization
Ensure high-performance data processing and storage
Contribute to code reviews, debugging, and troubleshooting of backend systems
Stay updated with emerging technologies and industry best practices to drive continuous improvement
Requirements
Benefits
Work with Purpose: Join a dynamic, cross-functional team shaping the future of cutting-edge technology in a fast-paced, collaborative environment.
Growth That Moves With You: Take advantage of continuous learning opportunities, mentorship, and a clear path for professional development and career progression.
Modern Workplace: Enjoy a thoughtfully designed office equipped with modern amenities to support your productivity and well-being.
Bachelor's or Master's degree in Computer Science or a related field
Minimum 5 years of professional experience as a Backend Engineer, preferably working with Golang, Python, Django, and databases like PostgreSQL
Proven expertise in designing and implementing scalable backend solutions and API interfaces
Strong understanding of cloud technologies, especially AWS, Kubernetes, and EKS
Experience developing and consuming RESTful JSON APIs
Proficiency in working with relational databases and writing efficient SQL queries
Familiarity with frontend technologies such as React is a plus
Solid architectural skills with a focus on performance, scalability, and security
Experience with containerization and orchestration using Docker and Kubernetes
Knowledge of CI/CD pipelines and automated deployment processes
Excellent problem-solving and communication skills
Global Culture: Be part of a diverse and international team that values different perspectives—complete with regular team events, retreats, and cultural exchanges.