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Company description: Ricoh began marketing Plain Paper Copiers (PPCs) in 1981 in North America and Europe. Over the next two decades, Ricoh became a leader in digital office solutions, capitalizing on the global office automation and networking boom. Today, with 81,900 employees and offices in over 150 countries, Ricoh Group has one of the industry's largest sales and support networks. With a turnover exceeding US$22 billion, we are a leading Global 500 company. In line with our expansion, we seek dynamic individuals to join our growing team. Job description: Job Summary Job Description Key Responsibilities: • Architect and deliver AI applications end-to-end: LLM integration, RAG pipelines, AI agents, and workflow automation serving APAC teams. • Build and maintain APIs to expose AI capabilities to internal systems and business applications. • Design AI automation workflows (n8n, Power Automate, or custom pipelines) that streamline operations across regional offices. • Mentor junior AI developers: code reviews, pair programming, and establishing team development standards. • Lead technical discussions with vendors and stakeholders; evaluate AI tools and proposals critically. • Ensure production quality: testing, error handling, monitoring, and documentation. Education • Bachelor's degree in Computer Science, Software Engineering, IT, or related field. Strong portfolios with production AI projects can compensate for formal education requirements. Skills Must-Have • 3-5 years development experience with at least 1-2 years building AI-powered applications that are in production use. • Python + LLM integration: Strong Python skills. Proven experience integrating LLMs via APIs, prompt engineering, RAG, and function calling / tool use. • AI workflow automation: You've designed and built multi-step automated workflows incorporating AI (n8n, Power Automate, Make, or custom pipelines). • API development: You can build REST APIs (FastAPI, Flask, etc.), not just consume them. • AI dev tools: Proficient with Claude Code, GitHub Copilot, Cursor, or similar. Can guide others in using them effectively. • Independent delivery: You can take a business problem, design an AI solution, and deliver it end-to-end with minimal supervision. Strong Advantage • Cloud AI platforms (Azure OpenAI, Azure AI Foundry, AWS, or GCP AI services). • AI agent frameworks (LangGraph, CrewAI, AutoGen) or protocols (MCP, A2A). • Vector databases (Pinecone, ChromaDB, pgvector) for production RAG systems. • Cloud data platforms (Snowflake, Azure Synapse, BigQuery). • Docker and CI/CD pipeline experience. • Team leadership or mentoring experience in a professional setting. Nice-To-Have • ML fundamentals (model training, fine-tuning, evaluation — even if not your daily focus). • Front-end skills (React, HTML/CSS/JS) for building AI app interfaces. • Real-time AI: speech-to-text, translation, conversational AI systems. • Microsoft Power Platform / Copilot Studio. • Azure certifications or equivalent. • APAC languages (Mandarin, Malay, Thai, Vietnamese) alongside English. We offer: Additional 3% Employer EPF Contribution upon confirmation Medical, Optical and Dental Group Hospitalisation and Personal Accident Insurance Coverage
Here's where they are and how to stand out in your next interview.
24.795Jobs
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That number includes positions in India (9,577), Poland (3,429), the United States (1,753), Singapore (787), and Brazil (779). If you're looking to move or work remotely, check which countries match your goals — then filter WorkMundi by location to see what's actually hiring near you.
Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.