Tech jobs aren't disappearing, they're evolving. Learn to adapt.

🚨AI is smart… but lazy humans are still copy-pasting 😂 Just saw a job post today: “We are hiring for the role of [Job Title]…” Bruh… they forgot to even replace the placeholder 😭 No tech stack. No role clarity. Same company posting Customer Service + Recruiter + Software Engineer in 24 hours. Over 100 people already clicked “Apply” without thinking. ⚠️ Reminder: Not everything on the internet is a job. Some are data traps, spam, or worse. ✅ Review before you apply ✅ Check company legitimacy ✅ Avoid AI-generated copy-paste scams Stay sharp, not desperate. #AI #Hiring #TechJobs #SoftwareEngineer Hirenza

H̳o̳w̳ ̳t̳o̳ ̳G̳e̳t̳ ̳H̳i̳r̳e̳d̳ ̳a̳t̳ ̳a̳n̳ ̳A̳I̳ ̳S̳t̳a̳r̳t̳u̳p̳ ̳i̳n̳ ̳2̳0̳2̳5̳:̳ ̳W̳h̳a̳t̳ ̳F̳o̳u̳n̳d̳e̳r̳s̳ ̳A̳r̳e̳ ̳R̳e̳a̳l̳l̳y̳ ̳L̳o̳o̳k̳i̳n̳g̳ ̳F̳o̳r̳ AI startups in 2025 don’t hire like traditional tech companies. After speaking with dozens of AI founders, one message is clear: They’re not just hiring people — they’re hiring force multipliers who can work with AI, not compete against it. Whether you’re an engineer, data scientist, or transitioning from another field, here’s how AI-native hiring works now — and how to position yourself to win the best roles. https://lnkd.in/gEX37BXK #AI #Startup #job #hiring

The “We Need an AI Person” Problem.........   Lately, I have been having a lot of conversations with hiring managers that start the same way: “We need to hire someone in AI.” But when I ask what exactly they need that person to do, things get a little fuzzy, and honestly, that is completely understandable. AI is evolving faster than job descriptions can keep up. The truth is that most companies do not need a full-blown machine learning engineer. They need someone who can: 1. Automate repetitive tasks using Python and APIs 2, Build smart workflows with Zapier, Power Automate, or custom scripts 3. Query and analyze data with SQL 4. Think critically about where automation or AI actually adds ROI In other words, they need an automation-focused developer with problem-solving and data literacy, not someone fine-tuning neural networks. What “AI Talent” Really Means in 2025   When hiring managers say, “AI person”, they are usually describing one of these three profiles: 1. An Automation Developer who connects tools and systems 2. A Python/SQL Developer with business sense and critical thinking 3. A Problem Solver who understands both process and people The real differentiator is not who knows the most about AI, it’s who knows when NOT to use it. Implementation starts with clarity, not complexity. Before You Post That AI Job… Ask yourself: 1. What business problems are we actually trying to solve? 2. What processes are slowing your team down? 3. What data do we already have but are not using? 4. Could automation alone solve 80% of the problem first? Because hiring “someone in AI” without knowing what problem you are solving, is like hiring a pilot without knowing where you want to fly. The smartest organizations are not racing to “hire in AI.” They are learning to think with AI, strategically, responsibly, and with measurable impact. If you are a hiring manager or client navigating this space, start with outcomes, not titles. That’s how you will find the right person and actually get results. I am curious to know if you have hired for “AI roles” recently, what skills ended up being the most valuable after the hire? #Hiring #AI #Recruiting #Automation #BusinessIntelligence #FutureOfWork #RecruitmentStrategy #TalentAcquisition #AIJobs #TechHiring

Hiring for GenAI? Chasing tactical skills is a losing strategy. Focusing too much on “GenAI skills” risks missing the engineers who actually know how to build software — the ones who’ll end up teaching your GenAI hotshots how to deliver scalable, working systems. Software engineers have adapted to new waves before: → Distributed systems, 3-tier architectures, and microservices → Mobile, Web Services, SPAs, REST → Big data & event streaming → Cloud-native & Kubernetes → … GenAI is just another wave — a big one, for sure — but like all the others, those skills will mostly be picked up on the job anyway. Don’t frown — that’s how we engineers have had to learn, driven by a dose of curiosity outside of work, given the pace of change. Don’t get me wrong, you always need the fundamentals — but engineers become useful by doing, and that takes much longer than earning a degree or certification. The specific tech you use isn’t nearly as important as learning how to deconstruct problems, find the core abstractions, and apply them to design and build software that actually works. Software engineering is an iterative craft, built on proven design patterns from the engineers who came before you. It takes passion, curiosity, openness to feedback — and a tolerance for frustration and humor, since nothing ever works properly the first time. Instead of chasing résumés claiming “GenAI expertise” for frameworks that have barely been stable for enterprise use for a couple of years — sometimes much less — hire artisans: curious, pragmatic engineers who care about elegant design, love learning, and build collaboratively. Don’t chase candidates boasting about their “extensive” experience with a technology that only just emerged and will likely be replaced as quickly as it appeared. GenAI experience is, at most, exposure right now. Hire proper engineers — they’ll ride this wave just like all the others. #GenAI #Hiring #TechLeadership #SoftwareEngineering #Recruiting #AI #TeamBuilding

AI is moving faster than hiring. 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝗮𝗹𝗼𝗻𝗲 𝗴𝗮𝘃𝗲 𝘂𝘀:  • AI coding for 30+ hours without breaks  • Photoshop opening its doors to third-party AI models  • AR glasses that respond to finger signals  • Video tools where “real” is just a setting, not default If AI can build apps overnight, what’s stopping startups from scaling? Not the tech. Not the product. 𝙄𝙩’𝙨 𝙥𝙚𝙤𝙥𝙡𝙚. Here’s the irony We’ve reached a point where an AI can code your MVP while you sleep… …but it still takes companies 3–4 months to hire the engineer who will maintain it. 𝗧𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗦𝗻𝗮𝗽𝗵𝘆𝗿 𝘀𝗼𝗹𝘃𝗲𝘀.  • We close product & tech roles in weeks, not months.  • We bring in immediate joiners so you don’t lose momentum.  • And we engage candidates till Day 1, so ghosting doesn’t derail launches. Because the future won’t wait for your hiring cycle. Neither should you. 💡 Curious, if AI could take one task off your hiring plate tomorrow, what would you want it to be? #Hiring #AI #Recruitment #Snaphyr #FutureOfWork #job #snaphyr #linkedin #india

🤖 The AI Paradox in Tech Hiring Organizations across the world are rapidly adopting AI-powered development, encouraging engineers to leverage intelligent tools for faster, more efficient coding. However, when it comes to technical interviews, many still follow the same traditional pattern — algorithmic puzzles, time-bound coding tests, and syntax recall. These methods often fail to reflect how modern engineers actually build and solve problems in real-world environments. If AI has become an integral part of our development process, then our hiring practices must evolve accordingly. A more effective approach would be to provide candidates with a real-world scenario, allowing them to: Develop a solution using AI assistance. Demonstrate architectural and design thinking. Address security vulnerabilities, latency, and performance concerns. Such an evaluation would offer deeper insights into a developer’s engineering mindset, adaptability, and problem-solving maturity, rather than simply testing their memory or speed. It’s time for the industry to bridge the gap between how we code and how we hire. I’m also actively looking for opportunities where I can contribute my best by leveraging AI tools to build innovative, scalable, and secure solutions that make a real impact. #AI #Technology #Hiring #SoftwareEngineering #Innovation #Developers #Recruitment #FutureOfWork #EngineeringCulture #TechTransformation #OpenToWork

🚨 Andrew Ng is back — and this time, he’s teaching Agentic AI. One of the most respected educators in AI just released a 7+ hour course on Agentic AI, and it’s completely free. If you’ve ever wanted to learn how to build autonomous AI systems that think, plan, and act — this is your roadmap. 📊 Here’s what’s inside (5 expert-led modules): 🔹 Module 1: Introduction to Agentic Workflows → What is Agentic AI? → Degrees of autonomy & benefits → Task decomposition & evaluation → Agentic design patterns 🔸 Module 2: Reflection Design Pattern → Reflection vs direct generation → Chart generation workflow → Evaluating reflection impact → Using external feedback 🔷 Module 3: Tool Use → What are tools & how to build them → Function → tool conversion → MCP & tool syntax → Ungraded labs: Email Assistant, Code Execution 🔶 Module 4: Practical Tips for Building Agentic AI → Evals, error analysis, latency & cost optimization → Component-level evaluations → Development process best practices 🔺 Module 5: Patterns for Highly Autonomous Agents → Planning workflows & LLM plan execution → Multi-agent systems & communication patterns → Labs: Customer Service Agent, Market Research Team 💡 Why this matters: While others sell “Agentic AI” courses, 👉 DeepLearning.AI just dropped the entire blueprint for free. 📌 Watch the full course here: 🔗 https://lnkd.in/gWvm5SJ3 💬 Any other resource you’d recommend? Drop it below ⬇️ 👋 Explore more free AI / ML resources on my profile. 📌 Repost to help others start building! ♻️ Share to help your network start learning today! 👤 Follow me, Saddam Arbaa, for production AI/ML/MLOps, AI Agents, and hands-on developer tools. 👍 Like | 🔖 Save | 🔁 Repost if this was helpful 💼 #OpenToWork | AI / ML / Software Engineering roles in Full-Stack, Backend, Frontend, AI/ML, Automation & Agentic Systems. 🔹 Let’s connect if your team is hiring or building AI-powered solutions! ✅ #NowHiring #SiemensAG #RemoteJobs #EngineeringCareers #GlobalHiring #TechJobs #Innovation #SmartInfrastructure #CareerGrowth #HiringAlert #ApplyNow #FutureOfWork #OpenToWork #RemoteWork #AIJobs #MLJobs #SoftwareEngineer #FullStackDeveloper #BackendDeveloper #FrontendDeveloper #JavaDeveloper #SystemDesign #MLOps #AIAgents #Automation #OpenAI #JobSearch #Hiring #TechHiring #AvailableNow #GlobalTalent

The hiring landscape isn’t just evolving—it’s transforming right in front of us. Last week, we posted just 3 job openings. We expected a good response, but what we got was 500+ applications. That’s when it hit me—this is not the same hiring process we knew even a year ago. With AI tools like LinkedIn’s auto-filtering, the platform shortlisted around 50 profiles that it considered "top talent." As I started reviewing those profiles, something stood out clearly: 👉 The best candidates—regardless of the role—all had strong AI fluency. I'm not just talking about engineers. Marketers, designers, product folks—those who knew how to use AI tools, write effective prompts, build AI workflows using n8n—they consistently stood out. It reminded me of a recent internal project. One of our teammate—non-technical—automated a clunky manual process using AI. What used to take 48 hours now runs in the background while they focus on strategy. That mindset is a game changer. We’ve now made it a rule: AI skills are a core part of our hiring criteria. Not to replace domain expertise, but to amplify it. So here’s my honest suggestion to anyone currently job-seeking or planning for their next role: ✅ Start learning AI. Prompting, automation, workflow design—whatever fits your space. Because in today’s market, your ability to work with AI may matter as much as your core skillset. This shift is already happening. The question is—are you moving with it? #Hiring #AI #FutureOfWork #PromptEngineering #Careers #n8n #Startups #AIFluency

3 Hiring Trends I’m Seeing in AI & Security Right Now Data doesn’t lie: 70% of AI startups say talent is their #1 bottleneck. And after working with a mix of founders building in AI, and security, here’s what I’m seeing first-hand at Eden Prescott 👇 1. “AI-adjacent” roles are exploding. Founders don’t just want model engineers anymore, they want AI-literate generalists: PMs, infra engineers, and SecEngs who can reason about LLM pipelines and safety. 2. Security is moving left.....hard. More companies are baking security into dev workflows early early. The first security hires are increasingly hybrid: half builder, half guardian. 3. Top talent wants meaning + velocity. The best candidates I speak with aren’t chasing the highest salary, they’re chasing impact per line of code. They want to see what they build go live this quarter, not next year. The gap between “we need people fast” and “we need the right people” has never been wider, and the startups that win are the ones who balance both. #ai #security #startups #recruiting #founders #edenprescott #hiring #sfjobs

"AI Engineer" is the hot new job title, but most companies are trying to hire for it using last decade's playbook. A standard LeetCode-style challenge won't tell you what you need to know. Hiring a true AI Engineer isn't about testing for pure coding ability. It's about evaluating their ability to: ➡️ Reason about systems: How do they chain models and handle failures? ➡️ Optimize for cost & latency: Do they understand the trade-offs of different model sizes and APIs? ➡️ Build with integrity: How do they implement guardrails against hallucination and bias? You can't find these answers on a resume or in a simple quiz. You need an in-depth skill simulation that tests for real-world problem-solving. How is your team thinking about identifying and validating this new breed of talent? #AIEngineer #Hiring #TechTrends #GenAI #EngineeringLeadership #CTO