Senior AI Backend Engineer - Remote | €1,500 Learning Budget

StepTo

Time

On-site

NOK 426,186 - 669,721

Full time

14 days+

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Benefits offered by this job

Remote-first from Serbia

Optional Belgrade office

€1,500 learning budget

25 days PTO

Top-of-market salary in EUR

Job summary

StepTo is seeking an experienced AI Backend Engineer to build scalable AI-powered backend services and REST APIs in cloud-native environments. You will design secure, performant microservices, containerize with Docker, and deploy via Kubernetes/OpenShift while collaborating with frontend, DevOps, and infrastructure teams in an Agile setting.

You will contribute to CI/CD pipelines, monitoring, and architectural decisions, with a focus on code quality and efficient testing.

Qualifications

5+ years of professional backend development experience.
Strong Python development skills and experience building REST APIs.
Experience developing and maintaining microservice-based applications.
Hands-on experience with Docker and containerized deployments.
Experience working with Kubernetes and/or OpenShift.
Familiarity with CI/CD pipelines, preferably Jenkins or GitLab CI.
Experience with Git and modern software development workflows.
Strong problem-solving skills and the ability to work independently.
Excellent written and spoken English.
Nice to have: experience with FastAPI.
Nice to have: knowledge of Redis and Kafka.
Nice to have: experience with Bash scripting.
Nice to have: familiarity with SonarQube, Jira, Confluence, Dynatrace, or OpenSearch.
Nice to have: basic understanding of AI and machine learning concepts.
Nice to have: German language skills.

Responsibilities

Design, develop, and maintain scalable backend services using Python.
Build and enhance REST APIs and AI-powered microservices.
Integrate external systems, APIs, and multiple data sources.
Containerize applications with Docker and deploy them using Kubernetes/OpenShift.
Build and improve CI/CD pipelines to automate testing, deployment, and releases.
Monitor applications, troubleshoot production issues, and optimize system performance.
Contribute to architectural decisions and continuously improve code quality through testing and reviews.
Work closely with frontend, DevOps, and infrastructure teams in an agile environment.
Document technical solutions and participate in planning, estimation, and sprint activities.