Senior AI Automation Engineer

5+ years of commercial experience as a Full-stack/ Backend Developer. 3+ years of professional experience building integrations, automations, or workflow systems. Strong proficiency with low-code/no-code automation platforms (n8n, AI for business automation - Tray.ai, Zapier, Make | AI Workflow Automation Software & Tools, or similar). Solid JavaScript skills. Hands-on experience with LLM APIs (OpenAI, Anthropic Claude, or similar) and prompt engineering. Experience working with REST APIs, webhooks, and authentication patterns (OAuth, API keys, JWT). Understanding of data transformation and formats (JSON, XML, CSV). Ability to read API documentation, debug integration issues, and troubleshoot automation failures. Experience building event-driven workflows and handling asynchronous processes. Strong problem-solving skills and ability to translate business requirements into technical solutions. Self-motivated, disciplined, and comfortable working independently across time zones. Great communication skills. English at least at the Upper-Intermediate level.

Design and deploy AI-powered automation workflows using low-code platforms and custom JavaScript. Build intelligent systems that leverage large language models (LLMs) for decision-making, data extraction, and process automation. Create and maintain integrations between internal systems and third-party platforms using APIs, webhooks, and event-driven architectures. Develop data pipelines that transform, enrich, and route information across multiple systems and data sources. Implement prompt engineering strategies and design multi-step LLM orchestration workflows. Build and optimize automated workflows that eliminate repetitive manual tasks across operations teams. Monitor automation health, debug failures, and continuously optimize workflows for reliability, performance, and cost-efficiency. Identify new automation opportunities by collaborating directly with operations, product, and engineering teams. Document workflows, create runbooks, and establish best practices for scalable AI automation. Participate in code reviews and contribute to shared automation libraries, frameworks, and templates. Measure and report on automation performance metrics, including accuracy, latency, cost savings, and operational impact. Prototype new AI capabilities and experiment with emerging technologies as part of our Technical Innovation Program.