@DeRonin_: How to get a job as an AI Automation Engineer: AI automation is one of those fields where it's actually easier to get a…
Summary
Tips on breaking into AI automation engineering through non-traditional paths: build personal brand on X and GitHub, share knowledge in communities, specialize narrowly, and demonstrate measurable results.
View Cached Full Text
Cached at: 05/25/26, 10:35 AM
How to get a job as an AI Automation Engineer:
AI automation is one of those fields where it’s actually easier to get a job through non-traditional paths
companies need people who can wire AI into their existing tools, automate workflows, and save them 40+ hours a week
they don’t care where you learned it
so, here’s my workflow for getting a job as an AI Automation Engineer:
1: Build your personal brand on X
this should be your main platform
follow AI startup founders, reply to them, post your workflows, show your thinking and value
gonna to present next weeks how I’m doing it here
2: Build presence on LinkedIn or GitHub
these are more traditional platforms
but if you build your own automation system and it gets traction on GitHub, that’s already way stronger than “work experience at a company”
basically potential client checks out firstly your Github to get verification that you’re good at your deal
release open-source automation workflows to get the reputation
3: Share knowledge in communities
n8n community, LangChain Discord, OpenAI forums, Claude community
this is where real people hang out and opportunities appear
cheat codes to stand out and get into the top 1%:
1: Build in public
- show what you’re building and how
- CVs are outdated, people hire those who can build fast, ship real automations, and solve actual business problems
- Learn to build with AI agents, not just drag-and-drop
- one person with Claude Code can ship what used to take a 3-person dev team
- the no-code ceiling hits fast.. agents don’t have one
- Do free audits before calls
- before jumping on a call with a potential client, map out their broken workflows
- show what you’d fix and how (this can also be turned into content on X)
- Specialize narrowly
- don’t just be “AI automation engineer”
- pick a niche: real estate, e-commerce, recruiting, legal
- this makes you 10x easier to position and hire
- Show measurable results
- metrics matter (money especially)
- “saved 40 hours/week” and “$12K/mo in reduced headcount” is what gets you hired
- not “built a cool n8n workflow”
main insight:
this is a new profession, traditional “work experience” doesn’t matter as much
what matters is real skill, real projects, and proof you can ship
forget chasing FAANG interviews
right now you have a much better opportunity:
- build in public
- grow your brand
- become visible
- start earning within months, not years
one more thing: everything in this field moves insanely fast
what’s relevant today may be outdated in a year
so “experience” doesn’t matter
your real skill is adaptability + learning fast + constant practice
I wrote a 10,000+ word roadmap breaking down exactly what to learn each month for 6 months
every resource, every tool, every practice project
read it below
fact
and thinking why he is not getting everything in this life, he works 9-5 and has high degree lol
sheeesh, good job my fren, hope you loved it and it will bring to you right results
yep
currently building custom AI Automation solutions
for now just from my personal network
fact
Similar Articles
@DeRonin_: https://x.com/DeRonin_/status/2062301065312407891
A detailed breakdown of how the author runs a solo AI automation agency generating $40k MRR with no employees, relying on AI models like Kimi 2.6 for delivery and achieving over 90% margin.
@DeRonin_: This 1-hour Stanford lecture will teach you how to automate your entire daily work routine with AI better than 99% of "…
A Stanford lecture on automating daily work routines with AI, focusing on the science behind how AI agents think, plan, and execute tasks independently.
@aiwithmayank: 10 FREE RESOURCES THAT TURN A BEGINNER INTO AN AI ENGINEER Bookmark this whole list. Follow it in order. This is the pa…
A tweet thread curating 10 free resources to learn AI engineering, from Harvard's CS50 AI course to Karpathy's neural networks tutorial, fast.ai, Hugging Face courses, and local tools like Ollama, providing a structured path from beginner to employable skills.
7 Ways to Get So Good at AI, People Will Think You Are AI
A Wired article offers seven practical tips for becoming an AI power user, from using AI agents like Codex and Claude Cowork to adopting voice input, emphasizing adaptability and productivity gains.
@DavidSacks: Q: How are job postings for software engineers rising rapidly despite AI agents automating coding? A: Because there’s f…
David Sacks argues that AI's automation of coding has led to a surge in code creation and increased demand for software engineers, challenging the narrative that AI will cause mass job loss.