AI Software Engineer

Quick Facts

• Employment: B2B contract

• Work mode: Remote

• Project: Development of a global SaaS platform

Description

Build and deliver full-stack capabilities for a global SaaS platform, covering web, mobile, and backend services. Leverage AI programming tools and agents (e.g., Claude Code) throughout the development lifecycle to plan, create, test, and refactor code, and to build supporting agent infrastructure (e.g., MCP servers and integrations). Design and implement highly available, multi-region cloud solutions on Google Cloud Platform and automate delivery with CI/CD, containerization, and deployment automation.

Responsibilities

• Design, develop, test, and deploy fullstack features for SaaS web/mobile apps and backend services

• Use AI tools and orchestration/agent frameworks at every stage of development

• Develop tools that support AI agents, including MCP servers, integrations with internal systems, and custom skills/commands/sub-agents

• Architect cloud solutions with high availability across multiple Google Cloud Platform regions

• Improve CI/CD processes, containerization, and deployment automation

Requirements

• Minimum 10 years of software development experience, including production systems at scale

• Minimum 3 years of practical experience building AI-supported software and using AI across the SDLC

• Documented experience delivering production software using AI agents to plan, create, test, and refactor code

• Very strong knowledge of ReactJS, React Native, and JavaScript/TypeScript

• Backend experience with Java (Spring Boot) and Node.js

• Knowledge of microservices architecture, REST/GraphQL APIs, event-driven integrations, and relational and non-relational databases

• Knowledge of CI/CD (e.g., GitLab, Jenkins, ArgoCD) and containerization with Docker and Kubernetes

• Practical knowledge of Claude Code, including CLAUDE.md configuration, and building custom skills, commands, sub-agents, and hooks

Benefits

• Long-term stable B2B contract employment

• Opportunity to grow in a large structure and direct access to the team manager

• Work in an organization where IT practices are mature and agile methodologies are respected

• MultiSport card co-payment and insurance

• Flexible start time window: 7:30–9:30

• Fast interview process (online video); up to 2 online meetings (team member, then manager)