🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
About the Role Our client is looking for a skilled Senior Generative AI Engineer with 68 years of hands-on experience in building, fine-tuning, and deploying generative models. The ideal candidate will have strong expertise in large language models (LLMs), prompt engineering, and scalable AI systems, along with a solid understanding of modern GenAI frameworks and tools. Key Responsibilities Design, develop, and deploy generative AI solutions using LLMs and foundation modelsBuild and optimize applications leveraging text, image, or multimodal generationDevelop and refine prompts, chains, and agents for high-quality outputsImplement Retrieval-Augmented Generation (RAG) pipelines using vector databasesFine-tune pre-trained models for domain-specific use casesIntegrate AI models into production using APIs, microservices, or cloud platformsCollaborate with cross-functional teams to deliver AI-driven productsMonitor model outputs, improve performance, and ensure responsible AI usageStay updated with the latest advancements in Generative AI and LLM ecosystems Required Skills & Qualifications Bachelors or Masters degree in Computer Science, AI, Data Science, or related field68 years of experience in AI/ML with exposure to Generative AI projectsStrong programming skills in Python (mandatory)Hands-on experience with LLMs such as GPT, LLaMA, Claude, or similar modelExperience with frameworks/tools like LangChain, LlamaIndex, Hugging Face Solid understanding of: Generative AI conceptsPrompt Engineering techniquesTransformers architectureExperience working with vector databases (FAISS, Pinecone, Weaviate, etc.)Familiarity with APIs, embeddings, and semantic searchExperience in deploying models using REST APIs, Docker, or cloud services Preferred Qualifications Experience with cloud platforms like AWS, Azure OpenAI, Google Vertex AIKnowledge of LLMOps / MLOps toolsExperience with multimodal AI (text, image, audio)Familiarity with fine-tuning techniques (LoRA, PEFT, etc.)Experience with RAG pipelines and knowledge retrieval systemsUnderstanding of CI/CD pipelines for AI systemsExposure to AI safety, bias mitigation, and Responsible AI practices Soft Skills Strong problem-solving and analytical thinkingExcellent communication and collaboration skillsAbility to work in a fast-paced, innovative environmentCuriosity to experiment with emerging AI technologies About YMinds.AI YMinds.AI is a premier talent solutions company specializing in sourcing and delivering elite developers with expertise in cutting-edge technologies. We help global enterprises and fast-growing startups accelerate their product development by connecting them with engineers who excel in building intelligent, scalable, and future-ready systems. Our clients are at the forefront of innovation, and we enable their success by providing exceptional talent that drives technological advancement. Keywords #GenerativeAI #LLM #LargeLanguageModels #PromptEngineering #LangChain #LlamaIndex #HuggingFace #Transformers #RAG #RetrievalAugmentedGeneration #VectorDatabase #FAISS #Pinecone #Weaviate #Embeddings #SemanticSearch #FineTuning #LoRA #PEFT #Python #APIs #RESTAPI #Docker #Kubernetes #MLOps #LLMOps #MLflow #Kubeflow #Airflow #AWS #AzureOpenAI #GoogleVertexAI #MultimodalAI #AIAgents #ResponsibleAI #ExplainableAI .
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.