AI Workflow & Automation Engineer (Remote - Balkans & Philippines only)

Role overview Improve engineering operations by finding processes that can be made faster or more reliable with AI. You’ll combine backend, DevOps, and systems design expertise to connect AI capabilities with internal infrastructure and tools, then work with teams to put practical automated workflows into use. The focus is on applied integrations and process improvement rather than building machine-learning models from scratch.

Responsibilities - Identify engineering and operational bottlenecks that are good candidates for AI-powered automation. - Build workflows and agents that address those bottlenecks. - Integrate AI models and APIs with backend systems, infrastructure, and engineering toolchains. - Design scalable, dependable automation that helps engineering teams work more efficiently. - Work directly with cross-functional teams to understand friction points and deploy solutions.

Requirements - At least five years of experience in backend engineering, DevOps, and systems design. - Practical experience integrating AI models, APIs, and automated workflows into business or engineering processes. - Experience in an engineering organization of 100 or more people, with an understanding of coordination and process challenges at scale. - Strong English communication skills, written and verbal. - Current residence and legal eligibility to work remotely in the Balkans or the Philippines.

Nice to have - Background in internal tools, platform engineering, or product engineering focused on operational challenges. - Experience with SaaS products. - Familiarity with LLM orchestration frameworks, agent workflows, or vector databases. - Knowledge of CI/CD automation, internal developer platforms, or infrastructure as code. - Experience helping teams adopt new tools or processes.

Benefits and work setup - Remote work with a provided MacBook. - B2B contractor arrangement and 22 vacation days plus 10 sick days annually. - No overtime, weekend work, or late working hours; in-house learning and technical knowledge-sharing opportunities.