Senior Backend Engineer (Golang) - Munich

About CONXAI

CONXAI has built a no\-code, agentic AI platform for the Architecture, Engineering and Construction (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.

Your Role

As a Senior Backend Engineer, you will play a key role in designing and evolving the backend architecture that powers a complex B2B AI platform. Our backend services process large volumes of structured and unstructured data, orchestrate AI workflows, and expose reliable APIs for both internal services and customer\-facing applications.

You will focus on building high\-performance distributed systems that are reliable, scalable, and designed for long\-term evolution.

This role is ideal for someone who:

• Takes ownership of backend architecture and system reliability


• Thinks in terms of distributed systems, concurrency, and scalability


• Designs clean service boundaries and well\-structured APIs


• Values maintainable, production\-grade code


• Enjoys collaborating with frontend, ML and platform teams

• Golang (primary backend language for core services)


• Python, TypeScript / NestJS (supporting services)


• PostgreSQL, MongoDB (AWS DocumentDB)


• REST APIs


• Docker \& Kubernetes (EKS)


• AWS Cloud (S3, Cognito, compute services)


• CI/CD pipelines and automated deployments

Architect \& Build Scalable Backend Systems

• Design and develop backend services primarily using Golang


• Build scalable APIs and backend services that power AI\-driven workflows


• Design systems capable of processing large\-scale datasets across multiple tenants


• Develop high\-performance services leveraging Go’s concurrency model


• Define clear service boundaries and maintain robust API contracts


• Contribute to architectural decisions for distributed backend systems

• Write production\-grade backend services in Go


• Design and implement RESTful APIs for internal and external integrations


• Ensure reliability through testing, monitoring, and observability


• Optimize system performance, latency, and resource usage


• Debug and resolve complex production issues

• Develop and deploy services using AWS cloud infrastructure


• Work with Docker and Kubernetes (EKS) to run and manage distributed services


• Utilize AWS services for storage, authentication, and compute workloads


• Collaborate with DevOps and platform teams to maintain reliable CI/CD pipelines

• Work closely with frontend engineers, ML engineers, and product teams


• Support integration of AI capabilities into backend systems


• Participate in architecture discussions and technical planning


• Conduct thoughtful code reviews and mentor junior engineers

Must Haves

• 5\+ years of professional backend development experience


• Strong experience with Golang


• Experience in designing scalable backend systems and APIs


• Strong understanding of distributed systems and microservice architecture


• Experience in working with AWS cloud infrastructure


• Experience in working with relational databases and SQL


• Strong debugging, system design, and problem\-solving skills


• Strong written and verbal English communication skills

• Experience in building complex B2B SaaS platforms


• Experience with Kubernetes and container orchestration


• Experience in designing systems for large\-scale data processing


• Experience working on AI or data\-intensive platforms

• Experience with Python or TypeScript (NestJS)


• Experience with event\-driven architectures


• Experience integrating AI/ML services into backend systems


• Experience in AEC, construction, or infrastructure domains

• Edge of Innovation:Be at the absolute forefront of AI in the construction tech space


• High Impact:Build core infrastructure powering real\-world AI automation used by global companies


• Top\-Tier Peer Group:Work with a global team of ML engineers, software engineers and industry practitioners


• Growth Opportunities:Join a fast\-growing company where engineering decisions directly shape the future of the platform

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