Backend Engineer (Golang)

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

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

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., 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