Curated roles in AI, Machine Learning, LLMs, and Generative AI from top artificial intelligence companies.
What leaders are saying about AI Engineers
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs.
I think this is mostly right. - LLMs created a whole new layer of abstraction and profession. - I've so far called this role "Prompt Engineer" but agree it is misleading. It's not just prompting alone, there's a lot of glue code/infra around it. Maybe "AI Engineer" is ~usable...
Today we’ve formalized an important hiring policy at Scale. We hire for MEI: merit, excellence, and intelligence. The AI revolution and taking frontier models into enterprise production with Forward Deployed Engineers requires pure builder excellence.
K there’s enough interest for an AI Engineer discussion. Notifying @altryne, @DrJimFan, @jerryjliu0, @hwchase17, @nutlope, and all other friends of the @latentspacepod to come chat! We'll answer questions about the @aiDotEngineer summit.
Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and completed real jobs on Upwork.
AI is incredible at writing code. But that's not enough to create software. You need to set up a dev environment, install packages, configure DB, and deploy. It's time to automate all this. Announcing Replit Agent.
Chrome is adding `window.ai` — a Gemini Nano AI model right inside your browser. It already works with the AI SDK. Building client-side and streaming AI applications is changing forever.
Pro searches on Perplexity can now invoke code execution to make sure the generated code works. Serving fast, verified reasoning to millions of users is what systems engineering for AI is all about.
Introducing LangChain: a python package aimed at helping build LLM applications through composability. A thread on why we built this, what you can do with it, where it's going, and the agentic ecosystem.
Today, we are rolling out three experimental models: - A new smaller variant, Gemini 1.5 Flash-8B - A stronger Gemini 1.5 Pro model (better on coding & complex prompts) - A significantly improved Gemini 1.5 Flash model. Try them on Google AI Studio!
One of the new, buzzy jobs in Silicon Valley is the AI Forward Deployed Engineer (FDE), an engineer who is embedded within a client organization to help customize solutions, such as building and tuning agentic workflows that suit the client’s particular needs.
I think this is mostly right. - LLMs created a whole new layer of abstraction and profession. - I've so far called this role "Prompt Engineer" but agree it is misleading. It's not just prompting alone, there's a lot of glue code/infra around it. Maybe "AI Engineer" is ~usable...
Today we’ve formalized an important hiring policy at Scale. We hire for MEI: merit, excellence, and intelligence. The AI revolution and taking frontier models into enterprise production with Forward Deployed Engineers requires pure builder excellence.
K there’s enough interest for an AI Engineer discussion. Notifying @altryne, @DrJimFan, @jerryjliu0, @hwchase17, @nutlope, and all other friends of the @latentspacepod to come chat! We'll answer questions about the @aiDotEngineer summit.
Today we're excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and completed real jobs on Upwork.
AI is incredible at writing code. But that's not enough to create software. You need to set up a dev environment, install packages, configure DB, and deploy. It's time to automate all this. Announcing Replit Agent.
Chrome is adding `window.ai` — a Gemini Nano AI model right inside your browser. It already works with the AI SDK. Building client-side and streaming AI applications is changing forever.
Pro searches on Perplexity can now invoke code execution to make sure the generated code works. Serving fast, verified reasoning to millions of users is what systems engineering for AI is all about.
Introducing LangChain: a python package aimed at helping build LLM applications through composability. A thread on why we built this, what you can do with it, where it's going, and the agentic ecosystem.
Today, we are rolling out three experimental models: - A new smaller variant, Gemini 1.5 Flash-8B - A stronger Gemini 1.5 Pro model (better on coding & complex prompts) - A significantly improved Gemini 1.5 Flash model. Try them on Google AI Studio!
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