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AI Engineer / Junior AI Engineer with solid programming fundamentals, positive problem-solving ability, and a clear understanding of Data Structures, Algorithms, Machine Learning, and modern AI concepts. The candidate should be able to write clean code, understand basic ML workflows, work with data, and contribute to AI-based automation initiatives such as test case generation, test script generation, RAG-based document understanding, data generation, and intelligent comparison utilities.The candidate is expected to have coding ability, logical thinking, and basic AI/ML understanding. Key Responsibilities: Develop and support AI-based internal tools and automation accelerators. Write clean and maintainable code using Python, Java, or JavaScript. Apply Data Structures and Algorithms to solve logical and coding problems. Work on AI-assisted test case generation, test script generation, and automation productivity tools. Support RAG-based solutions for requirement understanding, document processing, and test asset generation. Assist in building utilities for test data generation, file comparison, data validation, and automation support. Understand and apply basic Machine Learning and NLP concepts in practical use cases. Work with LLMs, prompts, embeddings, vector databases, and retrieval-based workflows. Collaborate with QA automation architects, developers, and business teams to convert requirements into AI-enabled solutions. Debug issues, analyze outputs, improve accuracy, and optimize generated results. Learn and adapt to current AI frameworks, models, APIs, and automation tools. Required Skills : Programming and Problem Solving AI / ML Fundamentals . NLP, LLM and Transformer Awareness Tools and Frameworks: Python libraries such as NumPy, Pandas, Scikit-learn, or similar. Basic exposure to AI/LLM frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI-compatible APIs, or similar tools. (Refer document shared for details) .
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.