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Responsibilities: Conduct research on state-of-the-art AI and machine-learning techniques Develop and implement algorithms for AI project include (LLM and Deep learning, etc) Collaborate with business owners/experts to integrate domain-specific knowledge into the AI projects Propose, modify, evaluate and optimize machine learning and deep learning models Conduct image to image, text to text and text to image, image to image preprocessing, e.g., image registration, for training machine learning or deep learning models Conduct Research and development study as assigned AI model training such as prompt engineering, fine-tune- LoRA, MCP blender, PEFT etc Develop computer vision applications (e.g. object detection, tracking, spatial analysis) Implement Retrieval-Augmented Generation (RAG) pipelines to enhance document understanding and answer precision Integrate LLMs with automation tools (e.g. n8n, Python workflows, RESTful APIs) into business processess Proven experience in implementing AI agent projects utilizing harness engineering Strong expertise in constructing knowledge graphs and deploying semantic search solutions using RAG, vector databases, and Obsidian Experience with Hermes agent knowledge is preferred Requirements: Bachelor’s Degree or above in Computer Science, Data Science, or related disciplines. Master’s Degree or above is highly preferred 1 to 2 years’ experience in image processing, computer vision, and/or machine learning Hands-on experience in prompt engineering, fine-tune- LoRA, MCP blender and PEFT is highly preferred Strong programming skills and knowledge in Python, C/C++, MATLAB Strong understanding of programming languages such as Python, JavaScript, HTML5, CSS, and SQL Familiar with frameworks and platforms, including but not limited to React, PyTorch, TensorFlow, LangChain, OpenAI, GCP and Azure Full-stack development experience is preferred Knowledge of deep learning, large language models (LLMs), and machine learning algorithms, neural network is preferred Excellent problem-solving skills and ability to work in a collaborative environment Proficiency in both spoken and written English and Chinese Immediate availability is highly preferred We offer 5 Day Work Week, Double Pay, Discretionary Bonus, Medical Insurance and attractive remuneration package to the right candidate. Please send full resume with present and expected salary to HR Department by clicking “Apply Now”. To know more about our Company, please visit www.ucpgroup.com (Personal data collected will be used for recruitment purpose only. All personal data of unsuccessful candidates will be destroyed after six months.)
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.