Senior AI Solutions Engineer

Senior AI Solutions Engineer

OLX Group

Remote, Spain

We are looking for a Senior AI Solutions Engineer who is equally comfortable building production-grade automations and enabling colleagues across the company to work smarter with AI. You will split your time between hands-on workflow development and AI evangelism - designing automated processes one day and running a workshop for the Legal or Customer Service team the next.

This is a role for someone who genuinely enjoys both sides: the craft of connecting systems and the satisfaction of watching a non-technical team discover what AI can do for them.

What you will do:

Automation & Workflow Engineering

• Design, develop, and deploy automated workflows using n8n and other low-code/no-code tools to improve operational efficiency across IT, HR, Legal, Finance, Customer Service, and other back-office functions.
• Build agentic AI solutions and AI-infused automations that go beyond simple task-to-task hand-offs, incorporating LLMs, decision logic, and intelligent routing.
• Own automation projects end-to-end: scoping, development, testing, deployment, and ongoing maintenance.
• Integrate across OLX's tooling landscape - Atlassian (Jira, Confluence), Slack, Google Workspace, SAP, Coupa, and others - via RESTful APIs and JSON to create seamless cross-system workflows.
• Write, test, and debug scripts in Python or JavaScript for complex logic, data manipulation, and custom API error handling.
• Maintain and support the n8n automation platform and its surrounding infrastructure.

AI Enablement & Evangelism

• Run discovery sessions with business and back-office teams to identify tasks and processes that can be improved, accelerated, or reimagined through AI.
• Lead workshops, hackathons, and training initiatives that build AI fluency across the organisation, making these tools accessible to non-technical colleagues.
• Conduct proof-of-concepts and proof-of-values on new AI tools and SaaS products, translating findings into clear recommendations for adoption or investment.
• Create and maintain a library of prompts, playbooks, and ready-to-use AI workflows that teams can pick up and apply immediately.
• Provide hands-on consulting to teams running AI-related projects - from prototype to production.
• Evaluate emerging AI capabilities and keep the organisation informed on what matters and what doesn't.

Collaboration & Mentoring

• Mentor junior engineers and promote best practices within the team.
• Collaborate with team leadership to shape the roadmap and prioritise high-impact initiatives.
• Drive continuous improvement by identifying patterns across departments and sharing reusable solutions.

Required skills:

• Relevant experience across automation engineering, AI enablement, or a combination of both.
• Experience working across departments with people of varying technical/non-technical backgrounds
• Strong hands-on experience with n8n or a comparable low-code/no-code integration platform (Make, Zapier).
• Demonstrated proficiency with RESTful APIs and JSON for integrating SaaS applications.
• Working knowledge of foundational AI models and APIs (LLMs, generative AI) and practical experience incorporating them into business workflows.
• Experience with a variety of different AI models and platforms (e.g. ChatGPT, Claude, Google Gemini, Perplexity, etc.).
• Practical experience with prompt engineering: you know how to get reliable, high-quality outputs from AI models.
• Ability to write, test, and debug scripts in Python or JavaScript.
• Track record of running workshops, training sessions, or hackathons - you can translate complex technology into clear, actionable guidance for non-technical audiences.
• High curiosity: you stay on top of a fast-moving AI landscape and are quick to learn and evaluate new tools.
• Courageous and proactive: you spot opportunities before anyone asks, propose bold ideas, and drive them forward independently.
• Excellent communication skills in English, both written and verbal.

Nice to have (strong plus)

• Background in Data Science and Machine Learning.
• Knowledge of natural language processing (NLP) and conversational AI systems.
• Experience with enterprise tools such as Atlassian, Slack, Google Workspace, SAP, and Coupa.
• Familiarity with tools like Midjourney, Runway, ElevenLabs, or similar generative AI tools for media and content creation.