TL;DR

Software Engineer (Backend) (Enterprise AI): Build and scale backend systems powering enterprise Generative AI products with an accent on reliability, performance, and deployment across hybrid and multi-cloud environments. Focus on designing scalable APIs, distributed data systems, and robust infrastructure to enable production-grade AI at enterprise scale.

Location: Budapest, Hungary (onsite)

Company

%hirify_global% develops reliable AI systems and full-stack technologies powering leading AI models and enterprise AI applications.

What you will do

Design, build, and scale backend systems for enterprise GenAI products focusing on reliability and performance.
Develop core services and APIs integrating AI models and enterprise data securely and efficiently.
Architect scalable distributed systems for data processing, inference, and orchestration of GenAI workloads.
Optimize backend performance for latency, throughput, and cost across hybrid and multi-cloud environments.
Manage and evolve cloud infrastructure (AWS, Azure, GCP) with automation, observability, and security.
Collaborate with ML and product teams to deploy and evaluate GenAI models in production.

Requirements

Location: Must be onsite in Budapest, Hungary
4+ years experience in backend or infrastructure systems with distributed services and scalability.
Proficiency in Python or TypeScript and backend frameworks like FastAPI, Flask, Express, or NestJS.
Experience with cloud infrastructure (AWS, Azure), container orchestration (Kubernetes, Docker), and IaC tools (Terraform).
Hands-on experience with GenAI applications, model integration, and production AI workloads.
Strong understanding of observability, CI/CD, and security best practices in enterprise environments.

Culture & Benefits

Inclusive and equal opportunity workplace committed to diversity and accommodations.
Work closely with industry leaders and cutting-edge AI technologies.
Supportive environment for professional growth and impact in enterprise AI.