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Job Title: GenAI Engineer Job Description We are seeking a highly skilled and motivated GenAI and Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and deep learning, with hands-on experience in developing and implementing generative AI models and algorithms. This role requires proficiency in programming languages such as Python and frameworks like AgenticAI, LangChan, TensorFlow, etc. Key Responsibilities Design, develop, and implement machine learning and deep learning models to solve complex problems. Develop and optimize GenerativeAI models and algorithms for various applications. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Conduct data preprocessing, feature engineering, and model evaluation to ensure high performance and accuracy. Stay up to date with the latest advancements in machine learning, deep learning, Agentic AI and Generative AI. Deploy and maintain machine learning models in production environments. Document and present research findings, methodologies, and results to stakeholders. Troubleshoot and resolve issues related to model performance and scalability. Requirements Any Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum of 3+ years of related experience. Strong knowledge of machine learning and deep learning concepts and techniques. Experience in implementing LLMs and Generative AI models, including Prompt Engineering, Retrieval Augmented Generation (RAG); and Agent based Architecture (AgenticAI). Proficiency in programming languages such as Python. Experience with machine learning frameworks and libraries, particularly LangChan, LangGraph, TensorFlow, PyTorch, Keras etc. Strong analytical and problem-solving skills. Familiarity with natural language processing (NLP) and Computer Vision. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Knowledge of Power BI and PowerAutomate would be a Plus. Proficiency in database design and management. Good communication and teamwork abilities. Ability to work independently and manage multiple projects simultaneously.
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.