2025-10-20 – Weekly AI News : Remote AI Solutions Engineer role!

Last week, our community engaged in thoughtful discussions around career paths in AI, with many members sharing their personal journeys. There was a lively debate on whether a PhD is necessary for a successful career in AI, as well as practical advice on breaking into the field. The forum also featured conversations about AI’s impact on mid-market businesses and a look back at historical milestones in AI development.


This Week’s Hot Topics

Weekly AI Jobs: Remote AI Solutions Engineer role!
A new remote AI Solutions Engineer position has caught the community’s attention. This role offers a chance to apply AI in innovative ways across various industries.
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Testing AI bundles for mid-market expansion
Members are exploring how AI bundles can drive growth in mid-market sectors. This discussion is crucial for those looking to understand AI’s commercial applications.
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FAQ/Guidelines
Our FAQ section is a go-to resource for new members. This thread covers forum guidelines and best practices for participation.
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Admin Guide: Getting Started
For those looking to contribute more actively, this guide provides insights into managing community interactions effectively.
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Thinking About a Career in AI? Here’s Where to Start!
This thread offers a roadmap for newcomers to the AI field, detailing essential skills and starting points.
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How Did You Land Your First Job in AI?
A compelling collection of personal stories from members about breaking into the AI industry. It’s an inspiring read for job seekers.
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Do You Need a PhD to Work in AI?
This ongoing debate weighs the pros and cons of advanced degrees in AI, offering diverse perspectives from the community.
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What Does GPT Actually Stand For?
A quick dive into the history and meaning behind GPT, clarifying common misconceptions.
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Which AI Defeated the World Chess Champion in 1997?
A nostalgic look at the AI that made history by defeating a world champion, inspiring discussions on AI’s evolution.
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What Was the First Neural Network Called?
An educational thread that traces the origins of neural networks, perfect for the historically curious.
Read more here


Thanks for staying up to date with us. Looking forward to another week of engaging discussions and shared learning.

1 Like

I didn’t do a PhD; I got into a remote AI solutions engineer role by building a 10‑day demo around a real mid‑market pain point and sitting in on sales calls — ‘ship one useful thing a week’ flipped my interviews. If you’re switching tracks, fast.ai is a solid speed boost: https://www.fast.ai; caveat: research‑heavy roles still lean PhD (like bringing a lightsaber to a nerf fight).

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Built a $15 DuckDB+OpenAI prototype in 48 hours; ‘remote AI solutions engineer’ interviews followed — PhD only needed for researchy roles.

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Echoing @Guide: a 7‑minute Loom to mid‑market RevOps got interviews, but include usage metrics.

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What moved the needle for me wasn’t another demo; it was a one‑pager titled “cost + risk” attached to the Loom. I broke down $/request, added a 30‑day retention plan, and linked https://openai.com/policies/api-data-usage; got two calls in 72 hours and nobody asked about a PhD after last week’s debate. Agree with @Guide on “ship something,” but if you don’t price it and note data handling, it reads like a toy.

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I got callbacks after I added a 60‑sec “failure plan” to my demo: show p95 latency, the retry/backoff policy, and a big “pause external calls” switch — it signaled I think about ops, not just prompts; tiny caveat, keep it live, not slides, @ellen_mark54.

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