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Key Responsibilities: - Work with LLMs (e.g., OpenAI, Hugging Face Transformers) to develop, fine-tune, and integrate models into products. - Design and test prompts for various tasks (prompt engineering) to improve model outputs. - Support development and deployment of generative AI applications (text, code, or image generation). - Write Python code to build ML/AI pipelines, evaluate model performance, and preprocess data. - Collaborate with data engineers to prepare and manage datasets used for training and evaluation. - Monitor and test model performance in production environments. - Document technical work, including models, experiments, and results. Required Qualifications: - Bachelor s degree in Computer Science, Engineering, Data Science, or a related field. - 0 1 year of industry experience in AI/ML, or a solid academic or project portfolio. - Proficient in Python and libraries such as pandas, NumPy, scikit-learn, and matplotlib. - Basic understanding of machine learning workflows and model evaluation. - Exposure to LLMs (e.g., GPT, LLaMA, Mistral) through personal or academic projects. - Familiarity with Hugging Face Transformers or OpenAI API is a plus. - Basic understanding of data engineering concepts such as ETL, data cleaning, and pipeline orchestration. As a Junior AI Engineer, youll be part of a fast-moving team working on developing and integrating LLMs and Generative AI tools into real-world applications. Youll contribute to model experimentation, fine-tuning, prompt engineering, and data preparation while growing your understanding of how these technologies power modern software systems. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .
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.