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Responsibilities: Conduct research on the latest developments in AI technology, evaluate and introduce suitable AI technologies and solutions, and drive the construction of AI platforms, services, and tools. Be responsible for the planning of generative AI (language models, multimodal generation) related architectural engineering and the design and maintenance of platform infrastructure. Conduct requirement analysis of generative AI application systems, evaluate the compatibility of system infrastructure resources, provide expert advice on function improvements and performance optimizations, and optimize the operation and maintenance processes of the AI platform and application systems. Support the analysis of AI application requirements and scenarios, promote the implementation of scenarios, empower business development, and support the Group's long-term planning and construction of digital operations. Requirements: Bachelor's degree or above in Computer Science, Information Engineering, Statistics, Mathematics, Finance, Data Analysis, Business Intelligence or a related field. Over 8 years of work experience in AI and machine learning, with more than 3 years of experience in generative AI. Familiarity with common programming frameworks and tools in the areas of generative AI (language models, multimodal generation). Deep understanding of the basic concepts, processes, and methods of AI, especially in the theory of large models Deep understanding and practical experience of language models based on Transformer architecture. Familiarity with open-source generative AI frameworks (such as LangChain, LangGraph, LangServe, LangSmith, xInference, etc.). Familiarity with fine-tuning methods for large language models like Lora and p-tuning, RAG workflow orchestration, agent development experience, and embedding deployment. Experience with Transformer-based and vLLM deployment. Familiarity with Kubernetes frameworks and deployment experience. Excellent engineering practice skills, strong hands-on ability, and the capability to quickly execute demo experiments. Good language expression and communication skills, teamwork ability, and learning ability. Familiar with bank business and proficient in related business concepts. Those with innovative fintech experience are preferred.
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.