Hybrid Senior System Engineer

at OLX Group

• Job title: Senior System Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: JavaScript, Python
• Location requirements: Hybrid, Poznan, Poland

About the role

• Senior System Engineer at OLX enabling smarter workflows with AI and automation. Split between workflow development and AI evangelism for cross-department collaboration.

Responsibilities

• We are looking for a Senior System 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.
• 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.
• 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.
• 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.

Requirements

• A minimum of 5 years of professional experience across automation engineering, AI enablement, or a combination of both.
• 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.
• 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.
• Excellent communication skills in English, both written and verbal.
• Bachelor's degree in Information Technology or a related field is a plus, but not required.
• Courageous and proactive - you spot opportunities before anyone asks, propose bold ideas, and drive them forward independently.
• Committed and results-driven - you see things through from idea to impact and measure success by outcomes, not just deliverables shipped.
• Collaborative - you work across departments with people of varying technical backgrounds and meet them where they are.
• Customer-led - you start with what the teams you serve actually need, not with the technology you want to use.
• Desire to win - you set ambitious targets, move fast, and hold yourself accountable. Good enough isn't good enough.
• High curiosity - you stay on top of a fast-moving AI landscape and are quick to learn and evaluate new tools.

Benefits

• We operate by OLX's 4C values — Courage to push into new territory with AI before the playbook exists, Commitment to follow through from prototype to real impact, Collaboration across every department we serve, and a Customer-led mindset that starts with what internal teams actually need. On top of that, this team has a genuine desire to win — we move fast, set ambitious targets, and hold ourselves accountable for results.