The latest articles on DEV Community by Aman Tank (@amantank). https://dev.to/amantank https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3164988%2F8b7a5da9-5d46-4394-a8b6-51c35ee6c56b.jpeg https://dev.to/amantank en Aman Tank Thu, 25 Sep 2025 08:54:35 +0000 https://dev.to/amantank/top-15-interview-questions-for-generative-ai-engineers-2025-guide-29n4 https://dev.to/amantank/top-15-interview-questions-for-generative-ai-engineers-2025-guide-29n4 <p>Generative AI is one of the fastest-growing fields in 2025. Companies are hiring Generative AI Engineers to design LLM pipelines, fine-tune models, and build real-world AI applications. Preparing well for interviews is key to landing these roles.</p> <p><strong>Here are the top 15 Generative AI Engineer interview questions and tips to crack them.</strong></p> <p><strong>Technical Questions</strong></p> <ol> <li>What’s the difference between GPT-style models and diffusion models?</li> <li>How do you fine-tune a large language model with limited data?</li> <li>Explain prompt engineering – what techniques improve response quality?</li> <li>How would you design a RAG (Retrieval-Augmented Generation) pipeline?</li> <li>What are common challenges in training generative models at scale?</li> <li>How do you evaluate the quality of generative outputs?</li> <li>Compare LoRA vs full fine-tuning.</li> <li>How do you mitigate hallucinations in LLMs?</li> <li>Explain the concept of embeddings and their role in semantic search.</li> <li>How would you deploy a generative model in production with low latency?</li> </ol> <p><strong>Behavioral &amp; Problem-Solving Questions</strong></p> <ol> <li>Tell me about a time you built an AI system that directly impacted business.</li> <li>How do you stay updated on fast-moving AI research?</li> <li>What ethical considerations must be made when deploying generative AI?</li> <li>How do you work with cross-functional teams (PMs, designers, data scientists)?</li> <li>Imagine you’re tasked with reducing inference cost by 40%. How would you approach it?</li> </ol> <p><strong>Quick Preparation Tips</strong></p> <ul> <li>Stay updated with OpenAI, Anthropic, Google DeepMind releases.</li> <li>Brush up on transformers, embeddings, fine-tuning methods.</li> <li>Practice explaining complex AI concepts simply.</li> <li>Use platforms like giveinterview.com to simulate real interviews.</li> </ul> <p><strong>CTA:</strong><br> 🚀 Ready to test your skills?<br> 👉 Try a free Generative AI Engineer mock interview at<a href="https://giveinterview.com/hosted/68ce7704992d2561371a7225" rel="noopener noreferrer"> giveinterview.com/jobs</a></p> Aman Tank Thu, 15 May 2025 18:24:07 +0000 https://dev.to/amantank/using-openais-assistants-api-with-livekit-in-real-time-any-best-practices-58gf https://dev.to/amantank/using-openais-assistants-api-with-livekit-in-real-time-any-best-practices-58gf <p>Hey Devs 👋</p> <p>We’re building a voice-based real-time app using LiveKit for audio/video and want to connect it to the OpenAI Assistants API (with Threads) to keep the conversation context without manually storing messages in Redis or a database.</p> <p>Here’s what we’re aiming for:</p> <p>Real-time voice via LiveKit</p> <p>Whisper-based transcription of user speech</p> <p>Send transcribed messages to an Assistant Thread</p> <p>Receive replies (text or TTS) and stream them back</p> <p>Maintain full session memory using Threads</p> <p>This used to be manual work with chat completion + Redis. Threads seem perfect now — just not sure how to glue them together in a real-time app.</p> <p>❓ Has anyone tried this? Are there any repos, patterns, or official docs that show LiveKit + Assistants API integration?</p> <p>Any help is appreciated! 🚀</p> openai python ai llm