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Key Responsibilities Partner with B/Ds to understand daily operational workflows, bottlenecks, and pain points, translating business requirements into scalable GenAI, workflow automation, or other AI use cases. Guide B/Ds through the transition from traditional workflows to AI-enabled concepts, managing local resistance and aligning stakeholders with executive showcase narratives. Build 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). Design and refine prompts, few-shot examples, and retrieval-augmented generation (RAG) solutions to maximise accuracy and minimise hallucinations. Integrate data pipelines with the Government’s central AI infrastructure and APIs. Prepare documentation including user guides, prompt templates, reusable workflows, and conduct briefings/trainings for change management and knowledge transfer. Pivot prototypes quickly based on live feedback from B/Ds and stakeholders. Job Requirements: Higher Diploma or above 3 - 6 years’ post-qualification experience in system implementation, application development, workflow automation, digital transformation, technical consulting, or system administration, with at least 1 year in a similar post. Sound understanding of GenAI, large language models (LLMs), APIs, and prompt engineering. Experience in configuring, implementing, or supporting IT systems or digital tools. Strong analytical, problem-solving, communication, and interpersonal abilities. 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 short timeframes. Strong dedication to execution and delivery. Preferred Experience (Advantages) AI tools: Open WebUI, Dify, n8n, RAGFlow, Work Buddy. LLMs: DeepSeek, Qwen, or other large language models. RAG and databases: Retrieval-augmented generation, vector databases, or knowledge management. Tech stack: APIs, databases, Linux, Docker, or cloud platforms. Programming: Python, JavaScript, SQL, or other programming languages Automation: AI agents, browser automation, or desktop automation. Governance: Information security, data governance, or responsible AI. Projects: Digital transformation projects in Government or large organisations. If interested for the above position, please send detailed resume with current and expected salary as well as date of availability by sending email to ita@clts.com For more job opportunity, please visit our website: www.clts.com The personal information is collected strictly 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.