Tag
A practitioner shares a 6-month roadmap to become an AI engineer from zero, covering software foundations, LLM app development, RAG, agents and evals, deployment/reliability, and specialization — emphasizing that companies hire people who build systems on top of models, not people who train them.
The author released a new book titled The Generative AI Career Masterplan that provides guidance on building an AI career and addresses related questions.
Santiago (svpino) recommends 'The Generative AI Career Masterplan', a book by industry leaders from Google, Microsoft, IBM, and Liquid AI that provides a career roadmap for roles in generative and agentic AI, including skills, frameworks, and personal branding strategies.
The article provides a detailed breakdown of OpenAI's complete software engineer interview process, analyzing round by round the core evaluation points behind initial screening, coding, system design, take-home projects, and the final interview, and compiles them into a systematic engineer advancement checklist.
This guide is based on 1765 real job descriptions and actual interview experiences, providing data-driven learning paths, interview preparation, and skill maps for those who want to switch to AI engineering. It is a practical open-source resource.
This is a detailed 12-month self-study roadmap for AI engineers, covering Python basics, API calls, RAG systems, Agent development, evaluation deployment, and job preparation.
This article maps the optimal AI-augmented path to becoming a GPU/CUDA engineer, highlighting compensation ranges and the growing demand for inference optimization specialists. It provides a realistic timeline and emphasizes the use of AI tools to accelerate learning.
Silvia Sapora shares a comprehensive guide on interviewing for Research Scientist roles at top AI labs, covering preparation, logistics, negotiation, and emotional challenges, based on her successful experience landing offers from DeepMind and others.
A comprehensive guide to Forward Deployed Engineering (FDE) in AI companies, explaining why Anthropic, OpenAI, Google, and others need FDEs, and how to excel in the role through auditing, evals, and deployment.