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Job Description About the Role: We are seeking a skilled and motivated AI/ML engineer to join our team in building intelligent, agentic systems. The ideal candidate will have hands-on experience with agent frameworksparticularly LangGraphand a solid foundation in machine learning, large language models (LLMs), and deep learning architectures. This role involves working at the intersection of cutting-edge AI and applied software engineering. Responsibilities: Design, build, and optimize AI agents using agentic AI frameworks (e.g., LangGraph) for domain-specific tasks. Collaborate on the development and fine-tuning of both open-source and proprietary LLMs. Develop robust RESTful APIs using frameworks such as FastAPI to support AI model deployment and integration. Conduct experimentation and evaluation of foundational models and neural network architectures. Maintain and enhance model performance through data curation, retraining, and optimization. Should be able to work with agentic workflows and prepare quick POCs. Requirements: 24 years of professional experience in machine learning and applied AI Proficiency in Python and common AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers) Hands-on experience with agentic AI frameworks (LangGraph preferred) Strong understanding of foundational models, neural networks, and deep learning principles Experience working with large language models, both open-source (e.g., LLaMA, Mistral) and closed (e.g., OpenAI GPT, Claude) Solid experience in building and maintaining RESTful APIs using FastAPI. Bachelors degree in computer science, engineering, or a related field (masters 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.