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About the role Design and build production-grade LLM applications using commercial APIs (AWS, Google, Grok, etc.). Deploy chatbots across multiple channels (web, app) and integrate them with existing business systems. Develop and maintain prompt libraries, conversation flows, tone guidelines, and prompt versioning. Build and maintain the AI article generation pipeline and content workflows (topic ideation, outlining, drafting, SEO optimization) that produce production-ready output. Key responsibilities Design and build production-grade LLM applications using commercial APIs (AWS, Google, Grok, etc.) Deploy chatbots across multiple channels (web, app) and integrate them with existing business systems Develop and maintain prompt libraries, conversation flows, tone guidelines, and prompt versioning Build and maintain the AI article generation pipeline and content workflows (topic ideation, outlining, drafting, SEO optimization) that produce production-ready output Implement content moderation, fact-checking, and output validation to ensure reliable, safe, and brand-consistent outputs Implement caching, batching, and cost-optimization strategies to control API and inference spend Evaluate chatbot and article quality against metrics (relevance, accuracy, latency, cost, user satisfaction) and iterate on performance Monitor and troubleshoot production chatbot and content systems to ensure reliability Collaborate with content, product, and engineering teams to refine use cases and capture requirements Document architectures, prompt standards, best practices, and technical decisions About you Bachelor's degree in Computer Science or related disciplines Experience in building LLM applications, chatbots, or AI content-generation systems Hands-on experience integrating LLM APIs (AWS Bedrock, OpenAI, Anthropic Claude, Google Gemini, Grok, DeepSeek, or similar) Strong prompt engineering skills, with a demonstrated feel for writing quality and tone control Familiar with AI development tools (Copilot, Claude Code, Kiro, Cursor) Proficient in Node.js, and web technologies and REST API integration Familiar with AWS/Alibaba Cloud solution deployment and administration Excellent problem-solving skills and attention to detail Strong sense of responsibility, good at communication and interpersonal skills Good command of spoken and written English and Chinese Location : InnoCentre, Kowloon Tong (3-min walk from Kowloon Tong MTR station) Benefits: 5-day work week Medical benefits Performance bonus Birthday leave Free flow of snacks and drinks Early leave on festive day Staff recreation activity Casual wear More about FreightAmigo: Website: www.freightamigo.com Facebook: https://www.facebook.com/yourfreightamigo/ Twitter: https://twitter.com/freightamigo LinkedIn:https://www.linkedin.com/company/freightamigo/mycompany/ Finance Technologies Awards: HKMA Award : https://www.freightamigo.com/media-zh-hant/freightamigo-won-startup-grand-award-in-techchallenge-digitising-trade-finance/?lang=zh-hant Interested parties please send full resume with followings by clicking ' Apply Now '. Expected Salary Date of Availability All Personal data collected will be used for recruitment purpose only.
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.