How to get a job as an AI Engineer:
AI engineering is one of those fields where it's actually easier to get a job through non-traditional paths
a lot of founders building products need AI engineers (they want to integrate AI, train models, and build new products on top of it)
so here's my workflow for getting a job as an AI engineer:
1: Build your personal brand on X
this should be your main platform
follow AI startup founders, reply to them, post valuable content, show your thinking and value
2: Build presence on LinkedIn or GitHub
these are more traditional platforms
but if you build your own product and it gets traction on GitHub, that's already way stronger than "work experience in a company"
3: Share knowledge in Discord communities
OpenAI community, OpenClaw, LangChain (anything directly related to AI engineering)
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CVs are outdated, people hire those who can build fast, solve problems, train and optimize models
2. Focus on features and exposure
study competitor products, understand what works
use this knowledge when pitching, it proves you understand the market
3. Do free audits before calls
before jumping on a call with a potential client, break down their architecture
show what you think is happening and what you would improve
(this can also be turned into content on X)
4. Specialize narrowly
don't just be "AI engineer"
pick a niche: automation, AI agents, infra, etc.
this makes you much easier to position
5. Show measurable results
metrics matter (money especially)
if your work saved or made money, that's what goes into your "CVโ
main insight:
this is a new profession, traditional "work experience" doesn't matter as much
what matters is real skill, understanding, and practical experience
forget chasing top company interviews
right now you have a much better opportunity:
- build in public
- grow your brand
- become visible
- potentially earn even more
one more thing: everything in this field moves insanely fast
whatโs relevant today may be outdated in a year
and in two years completely irrelevant
so "experience" doesn't matter
your real skill is adaptability + learning fast + constant practice
adapt or die.
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๐งต Linux fundamentals to learn before jumping into DevOps tools:
- File system navigation & permissions (chmod, chown, ls, cd)
- Process management (ps, top, kill, systemctl)
- Text processing & scripting (grep, awk, sed, bash)
- Networking basics (netstat, curl, ssh, firewall)
- Package management (apt, yum, dnf)
- User & group management (useradd, usermod, sudo)
- Disk management & mounting (df, du, mount, lsblk)
Below are examples for each one
incredibly honored to be one of the TransTech Social x Linux Foundation Training and Certification scholars!
Huge thanks to @TransTechSocial and @linuxfoundation for this amazing opportunity. I'm excited to embark on this journey and help pave the way for others in tech. ๐
Anthropic has released Free AI courses on:
- Prompt Engineering
- Building agents
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9 best guides you donโt want to miss:
๐ ๐บ๐ฒ๐๐๐ฒ๐ฑ ๐๐ฝ ๐บ๐ฎ๐ป๐ ๐ถ๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐๐ ๐ถ๐ป ๐บ๐ ๐ฒ๐ฎ๐ฟ๐น๐ ๐ฐ๐ฎ๐ฟ๐ฒ๐ฒ๐ฟ ๐ฏ๐ ๐ป๐ผ๐ ๐๐๐ถ๐น๐ถ๐๐ถ๐ป๐ด ๐๐ต๐ฒ "๐ง๐ฒ๐น๐น ๐บ๐ฒ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐น๐ณ" ๐พ๐๐ฒ๐๐๐ถ๐ผ๐ป ๐ฝ๐ฟ๐ผ๐ฝ๐ฒ๐ฟ๐น๐.
I used to talk about my education, experience, and previous companies - just reading out my resume. What a waste of a golden opportunity!
One day, a friend who was interviewing candidates for his team shared something interesting.
๐ ๐ฐ๐ถ ๐ฌ๐ฏ๐ฐ๐ธ ๐ธ๐ฉ๐ข๐ต ๐ฎ๐ข๐ฌ๐ฆ๐ด ๐ค๐ข๐ฏ๐ฅ๐ช๐ฅ๐ข๐ต๐ฆ๐ด ๐ด๐ต๐ข๐ฏ๐ฅ ๐ฐ๐ถ๐ต? ๐๐ฉ๐ฆ๐ฏ ๐ต๐ฉ๐ฆ๐บ ๐ถ๐ด๐ฆ ๐ต๐ฉ๐ช๐ด ๐ฒ๐ถ๐ฆ๐ด๐ต๐ช๐ฐ๐ฏ ๐ต๐ฐ ๐ด๐ฉ๐ฐ๐ธ๐ค๐ข๐ด๐ฆ ๐ต๐ฉ๐ฆ๐ช๐ณ ๐ฆ๐น๐ฑ๐ฆ๐ณ๐ต๐ช๐ด๐ฆ ๐ช๐ฏ๐ด๐ต๐ฆ๐ข๐ฅ ๐ฐ๐ง ๐ณ๐ฆ๐ข๐ฅ๐ช๐ฏ๐จ ๐ฐ๐ถ๐ต ๐ต๐ฉ๐ฆ๐ช๐ณ ๐ณ๐ฆ๐ด๐ถ๐ฎ๐ฆ.
I started experimenting with different approaches. After many trials and errors, I found what works best.
Now when interviewers ask me to talk about myself, I start with a brief introduction and move to my technical journey:
"I have 11 years of experience, with deep expertise in cloud infrastructure and automation. I've built complex solutions across AWS and GCP, specializing in Kubernetes and Infrastructure as Code.
I've successfully implemented large-scale migrations, like automating RDS migrations using Python and PGSync, reducing downtime by 60%. I've built and managed multi-environment EKS clusters using custom Terraform modules, supporting hundreds of microservices.
Recently, I've focused on DevSecOps, implementing comprehensive security scanning using GitHub Advanced Security suite, CodeQL, and Dependabot. I've also built automated monitoring solutions using Grafana and Prometheus that helped detect critical issues before they impacted users."
๐ง๐ต๐ฒ ๐บ๐ฎ๐ด๐ถ๐ฐ ๐ต๐ฎ๐ฝ๐ฝ๐ฒ๐ป๐ ๐ฎ๐ณ๐๐ฒ๐ฟ ๐๐ต๐ถ๐.
The interviewer starts asking questions about Kubernetes, cloud migrations, and security implementations - all areas where I excel!
Instead of getting random questions, I get to talk about my strengths for most of the interview.
Even when they ask about areas I'm not familiar with, I confidently say: "While I haven't worked extensively with that technology, I'm very interested in learning it. My experience with similar tools would help me pick it up quickly."
๐๐ฆ๐ฎ๐ฆ๐ฎ๐ฃ๐ฆ๐ณ, ๐ช๐ฏ๐ต๐ฆ๐ณ๐ท๐ช๐ฆ๐ธ๐ด ๐ข๐ณ๐ฆ ๐ฏ๐ฐ๐ต ๐ซ๐ถ๐ด๐ต ๐ข๐ฃ๐ฐ๐ถ๐ต ๐ข๐ฏ๐ด๐ธ๐ฆ๐ณ๐ช๐ฏ๐จ ๐ฒ๐ถ๐ฆ๐ด๐ต๐ช๐ฐ๐ฏ๐ด - ๐ต๐ฉ๐ฆ๐บ'๐ณ๐ฆ ๐ข๐ฃ๐ฐ๐ถ๐ต ๐ด๐ต๐ฆ๐ฆ๐ณ๐ช๐ฏ๐จ ๐ต๐ฉ๐ฆ ๐ค๐ฐ๐ฏ๐ท๐ฆ๐ณ๐ด๐ข๐ต๐ช๐ฐ๐ฏ ๐ต๐ฐ๐ธ๐ข๐ณ๐ฅ๐ด ๐บ๐ฐ๐ถ๐ณ ๐ด๐ต๐ณ๐ฆ๐ฏ๐จ๐ต๐ฉ๐ด.
Your "๐ง๐ฒ๐น๐น ๐บ๐ฒ ๐ฎ๐ฏ๐ผ๐๐ ๐๐ผ๐๐ฟ๐๐ฒ๐น๐ณ" response sets the tone for the entire interview. Use it wisely.
In System Design, I love discussing how someone would scale a web application.
The first answer is always "add more servers and a load balancer." This is where the real fun begins.
It's not about which algorithm you choose (Round Robin, Least Connections). It's about whether you understand that a load balancer's real job is to hide the chaos of a distributed system from the user.
Until it can't...๐งต
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