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Job Description BukuWarungs vision is to empower 60mn MSMEs in Indonesia to become financially aware and enable them to manage and grow their business using our technology platform, starting with bookkeeping and digital payments. We are looking for a highly skilled AI Productivity Engineer to lead the development and integration of AI-driven solutions, driving automation and efficiency across multiple business functions. In this role, you will play a crucial part in building scalable tools and workflows, optimizing internal processes, and fostering continuous productivity improvements. Your expertise will directly contribute to accelerating our GTMstrategy, enhancing operational scalability, and shaping the future of AI adoption within our company. Key Responsibilities: 1) AI Powered Automation & Operational Scaling Lead the development and integration of cost effective AI systems, leveraging LLMs and AI agents to optimize business operations, automate workflows, and improve customer support processes. Implement AI-based self serve tools to reduce operational dependencies. Collaborate with product and engineering teams to integrate AI driven automation into products, customer support, and internal operations. Identify and implement AI tools to enhance team productivity, GTM strategies, and business scalability. 2) AI Systems Architecture & Development Set up evaluation frameworks for AI systems & drive experimentations to optimize performance Lead the development and integration of AI agents for business automation (e.g., customer support, operations, GTM workflows). Rapidly prototype with AI tools iterating from proof-of-concept (POC) to full-scale production deployment, aim to minimize software development costs and maximize ROI 3) Technical Leadership & Strategy Assist in developing AI roadmaps and strategies to drive innovation and long term efficiency. Ensure AI solutions align with business objectives, compliance standards, and scalability needs. Establish best practices for AI governance and continuously drive learning within the team. Preferred Qualifications: Experience in natural language processing (NLP) and conversational AI development. Familiarity with cloud platforms AWS / GCP / Azure. Strong problem-solving and analytical skills with a focus on performance optimization. Excellent communication skills to collaborate with cross-functional teams effectively. Experience with machine learning frameworks and tools B.S. or M.S. in Computer Science or 6+ years in software development experience .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.