Amicus

Talent sourcing is one of the biggest bottlenecks in Healthtech AI. Everyone’s talking about AI in healthcare right now. The market is currently projected to grow from USD 39.25 billion in 2025 to USD 504.17 billion by 2032 Funding is flying around, and every founder’s claiming their product will revolutionise patient care. So what’s the problem with scaling these companies? Money and tech aren’t the bottleneck. People are. HealthTech scaleups aren’t struggling because tech isn’t ready. Many AI companies we’ve spoken to are struggling because the teams building the products aren’t big enough, fast enough, or connected enough yet to the real world of patient care. In our latest blog, we're taking a look at the talent bottleneck and the ways in which it is impacting start-ups in the space. (link in comments!) #healthtech #ai #startups #scaling #talent

The votes are in! Interesting to see the results of last weeks poll, it turns out that GenAI & LLM engineers are in high demand... 😲 Do you agree with the results? Let us know in the comments... #artificialintelligence #amicus #hiring #scaling #talent

It’s no surprise, that burnout is a challenge across the Web3 industry. While the remote working ethos enables freedom and flexibility, the reality inside many early-stage tech teams is still very different: - Overwork - Unclear boundaries - Relentless expectations Left unchecked this can lead to burnout, churn and even whole product failures. So what are the signs to look out for? Swipe 👉 #scaling #burnout #tech #amicus #warning

Celebrating two Amicus promotions! Congratulations to both Hamzah Choudhary and Ahmed Teyaro Simeen on their promotions this month. Hamzah is now Consistent Consultant and Ahmed is now Consultant level, up from Trainee. Both of them live and breathe our values every day, and it's great to see the hard work paying off. Great work guys! #promotion #recruitment #amicus

Interesting results on our poll last week 🤔 We asked hiring managers, if they use pair programming interviews in the hiring process... 44% of the voters opted to say that they never use pair programming when hiring! What are your thoughts on this? Let us know in the comments... #hiring #process #techtalent #interview #amicus

It’s no surprise, that burnout is a challenge across the blockchain industry. 🤯 While the decentralised ethos promises freedom and flexibility, the reality inside many early-stage blockchain teams is very different: - Overwork - Unclear boundaries - Relentless expectations. Left unchecked, these can lead to employee churn and even critical product failures. So, how can Web3 start-ups prevent developer burnout without slowing down product development? To find out, check out our latest blog post... 👇 #blog #web3 #burnout #prevention #amicus

If you had the budget for just one AI hire this quarter, what would it be? 🤔 The demand for AI talent in the US is sky-high, we’re seeing high demand for everything from MLOps to product manager. We want to hear from you... (If the answer is none of the below, let us know in the comments!) #AI #ArtificialIntelligence #LLM #GenAI #Amicus

Are pair programming interviews hurting your chances to hire talent? There are many pros and cons to using pair programming sessions in your hiring process. They can be useful as they get as close to the 'real thing' as any interview will. Get this right, and you can get a good picture of how a candidate works under pressure, thinks about problems and their technical ability. Get this wrong, and you can impact candidate experience, scare away talented developers and damage your employer brand. Scroll through below, to find out the pros and cons of this interview technique.

Burnout is not unique to blockchain. But the nature of Web3 start-ups makes the risk higher than in most sectors. Burnout is one of the top reasons blockchain engineers end up on the job market, but its (almost) entirely preventable. We want to hear your thoughts on this, so todays poll is all about the reasons burnout can happen... #blockchain #web3 #amicus #hiring #talent

"0-1 is important, but what about 1-1000?" Start-up success is all about building scalable, long lasting systems that can keep up with the pace of change. In our latest roundtable, we discussed how AI can get you from 0-1 quickly, and get senior stakeholders something to show the market. What it cannot do so well (in most cases) - is get the product to 1000, lasting for years to come. It's very important for companies to recognise the current limits of AI, as Sean O'Reilly explains in the clip below 👇 You can watch the full episode on our YouTube channel (link in comments) #AI #Engineering #Scalability #Discussions #Roundtable