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About the role Led by the AI Solutions Lead of the Team, you will be a hands-on builder focused on speed and experimentation. You will leverage the Public central AI infrastructure to spin up working functional proof-of-concept prototypes for civil/ public sector to solve real business problems. Key responsibilities Partner closely with bureau/departments to understand their daily operational workflows, bottlenecks and pain points, and translate business requirements into high impact and scalable GenAI, workflow automation or other AI use cases. Guide bureau/departments through the transition from traditional workflows to AI-enabled concepts, managing local resistance and aligning stakeholders with executive showcase narratives. Build functional GenAI workflows, agentic loops, knowledge assistants, chatbots and internal dashboards using tools such as Work Buddy, Open WebUI, Dify, n8n, RAGFlow and Model-as-a-Service (MaaS) platforms backed by advanced open-source models (e.g. DeepSeek, Qwen), paired with lightweight front-end interfaces and chat windows, to rapidly prototype solutions and address core business pain points. Design, test and refine system prompts, few-shot examples and retrieval-augmented generation (RAG) solutions to maximise output accuracy and minimise hallucinations. Seamlessly integrate B/Ds' data pipelines with the Public central AI infrastructure and application programme interfaces (APIs). Prepare user guides, prompt templates, reusable workflows and relevant technical documentations and conduct briefings/trainings to business and technical users from bureau/departments for change management and knowledge transfer. Quickly pivot and modify prototypes based on live feedback from bureau/departments and/or other stakeholders. About you At least three years' post-qualification experience in system implementation, application development, workflow automation, digital transformation, technical consulting or system administration, of which at least one year must be in a similar post or comparable capacity. Sound knowledge of GenAI, large language models (LLMs), APIs and prompt engineering. Hands-on experience in configuring, implementing or supporting information technology systems or digital tools. Good analytical, problem-solving, communication and interpersonal skills. Proactive attitude, strong learning ability and keen interest in emerging GenAI technologies. Ability to work closely with non-technical users and deliver practical solutions within a short timeframe. Committed to execution and delivery. Experience in any of the following aspects would be advantage: Open WebUI, Dify, n8n, RAGFlow or Work Buddy; DeepSeek, Qwen or other LLMs; RAG, vector databases or knowledge management; APIs, databases, Linux, Docker or cloud platforms; Python, JavaScript, SQL or other programming languages; AI agents, browser automation or desktop automation; information security, data governance or responsible AI; and digital transformation projects in the Government or large organisations.
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.