AI solutions Engineer

Join Plentific as a Senior AI Solutions Engineer, where you'll help automate repetitive tasks, improve output quality, and shorten cycle times. You'll work closely with various business teams, product managers, and technical product managers. This hybrid role combines technical skills with advisory responsibilities, and you'll play a key role in defining Plentific's internal AI adoption strategy.

• Identificar y priorizar oportunidades para la implementación de soluciones de inteligencia artificial y automatización en diferentes equipos de la empresa.
• Diseñar y entregar soluciones de inteligencia artificial y automatización, integrando sistemas y desarrollando flujos de trabajo robustos.
• Impulsar la adopción de las soluciones implementadas, trabajando junto a los usuarios finales y proporcionando capacitación y recursos.

### **Core requirements**

• Demonstrable experience shipping production AI or automation solutions that non-technical users have actually adopted and continued to use.
• Hands-on fluency in low-code automation and integration platforms such as n8n, [<Tray.io>](http://Tray.io), Workato, or Zapier, and in agentic patterns using LLM APIs from Anthropic, OpenAI, or similar.
• Confident hands-on coding in Python and TypeScript, comfortable building REST and webhook integrations, testing APIs (for example with Postman), and working with version control and basic CI/CD.
• Working knowledge of the SaaS tools that a modern technology business runs on, including ERP (NetSuite or comparable), CRM, support platforms, finance tooling, marketing automation, and the integrations between them.
• Excellent written and verbal communication, including the ability to explain technical trade-offs to a Finance Manager and to debug a prompt failure with an engineer in the same afternoon.
• A track record of running internal enablement (training, workshops, documentation, and office hours) that has measurably increased adoption of new tooling.
• Sound judgement around data access, PII handling, RBAC, and the security implications of letting AI systems act autonomously.

### **Preferred experience**

• Familiarity with agentic patterns (MCP, RAG, evaluation frameworks) and the maturity to know when a simpler approach beats a more sophisticated one.
• Experience in a scale-up, SaaS, or other fast-moving technology environment.
• Experience partnering with operational, commercial, or corporate functions rather than working only with engineering teams.

## **Experience and Qualifications**

• 5+ years of professional experience in software engineering, applied AI engineering, or a hybrid solutions and automation role.
• Experience working alongside non-technical or semi-technical teams in a tech company, scaleup, or comparable environment.
• Located in London and able to work in our office on a hybrid basis.
• Right to work in the United Kingdom.