OLX - Senior AI Solutions Engineer
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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. • AI & Automation Tool Ecosystem • We work with a range of tools and expect you to be proficient in several of them. You don't need to know every one — but the more of this landscape you've covered, the stronger your application. • Automation & Development • n8n (primary platform) • Python, JavaScript • Enterprise & Collaboration Stack • Atlassian (Jira, Confluence) • Google Workspace (Gmail, Drive, Sheets, Docs) • AI Models & Platforms • Claude / Anthropic API • OpenAI API / ChatGPT • Google Gemini / Vertex AI • AI Productivity & Research • Claude, ChatGPT, Perplexity (daily-driver proficiency) • AI-enhanced productivity tools (e.g., Gemini for Google Workspace, Notion AI, or similar) • Familiarity with tools like Midjourney, Runway, ElevenLabs, or similar generative AI tools for media and content creation • Diversity, Equity and Inclusion at OLX • OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us! • OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Responsibilities
• 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.
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