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Job Summary We are seeking a highly skilled Generative AI Engineer to design, develop, and deploy cutting-edge generative AI solutions. The ideal candidate will have hands-on experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and cloud-based AI services. You will collaborate with cross-functional teams to build scalable, production-grade AI systems and drive innovation across business workflows. Key Responsibilities Design and develop AI-driven application solutions using generative models, RAG frameworks, vector databases, and vector search technologies. Integrate generative AI solutions into existing enterprise workflows and systems. Fine-tune and optimize large language models for performance, scalability, and efficiency. Build and manage robust data pipelines for large-scale dataset handling, model training, and evaluation. Conduct research on emerging generative AI trends, tools, and methodologies. Implement rigorous testing frameworks and develop scalable, maintainable AI systems. Evaluate model outputs using appropriate performance metrics, ensuring bias and fairness considerations. Troubleshoot and resolve issues related to AI models and deployment workflows. Maintain comprehensive technical documentation. Leverage AI coding assistants (e.g., GitHub Copilot) and version control systems (Git) for efficient development. Communicate complex AI concepts and technical findings to non-technical stakeholders. Required Qualifications 37 years of professional experience in AI/ML or related domains. Solid proficiency in Python and prompt engineering techniques. Hands-on experience with leading generative AI models (e.g., Claude, OpenAI GPT, Gemini), including fine-tuning and customization. Experience with AWS Bedrock (model access, knowledge base implementations). Working knowledge of Azure OpenAI services. .
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.