> Markdown version of [/jobs/ext/4493015-expert-ai-automation-engineer](https://www.wearedevelopers.com/jobs/ext/4493015-expert-ai-automation-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Expert AI & Automation Engineer - **Company:** DTCP - **Location:** Valencia, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Cyber Security, Information Engineering, Automation of Marketing, Systems Integration, Agentic-AI, Information Technology, No-code Tools, Low-code, Data Management - **Published:** November 1, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=70246172023bfb41 ## About the Role * Practical experience in AI implementation, data engineering, automation, or a comparable technical role * Familiarity with AI tools, automation platforms, and integrating systems through APIs * Understanding of data management, data modelling, and data quality principles * Good interpersonal and communication skills, with the ability to explain technical topics in a clear and approachable manner * Structured, reliable, detail-oriented, and analytical working style * Proactive mindset, sound organisational skills, and a willingness to learn * Professional proficiency in English. German would be an advantage, * Knowledge of workflow automation tools and low-code/no-code platforms * Understanding of AI governance, data protection, and information security principles * Experience supporting the rollout and adoption of new technologies within an organisation * A degree in Computer Science, Data Science, Information Technology, or a related field ## Description * AI Use-Case Design: Identify and prioritise AI and automation use cases. Translate business requirements into workflows, agent roles, and review processes * AI Implementation: Configure AI agents on approved platforms and integrate them with existing systems and data sources * Data Management: Set up and maintain the company's data. Develop data models and ensure data quality for reporting and AI applications * Quality & Improvement: Test, monitor, and continuously improve AI solutions to ensure reliability * Training & Adoption: Train colleagues on AI solutions and support their rollout. Maintain user guidance and documentation