About CONXAI
CONXAI has built an
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
Our Tech Stack
- 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
What You’ll Do
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
Deliver High-Quality Backend Code
- 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
Work with Cloud Infrastructure
- 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
Collaborate Across Teams
- 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
What We’re Looking For
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
Highly Valued
- 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
Nice to Have
- 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
Why CONXAI
- 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
