Senior Backend Engineer (Golang)

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 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