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Jobleads
Your Engineering Skills Are Solid. Now It's Time to Go AI-Native.
You've tried GitHub Copilot. You've seen what ChatGPT can do. You understand this isn't hype – it's a fundamental shift in how software gets built. But your day job? Still the same stack, same patterns. Your company talks about AI but isn't actually building with it. You haven't had the projects to develop real AI experience – not because you're not interested, but because the opportunities aren't there.
This is especially true in some European countries. Many companies here are cautious, slow to adopt, waiting to see what the big players do first. If you're in that environment, you're watching a transition happen without being part of it.
The Career Trajectory Problem.
Look at job postings. "AI experience required" is becoming standard for senior roles. Where are engineers supposed to get that experience if their companies aren't building with AI?
Every quarter you spend on traditional development, engineers at AI-native companies gain more production AI experience. Not because they're smarter, but because they have access to the right projects.
This role is designed to close that gap.
We're hiring experienced engineers and giving them the projects to make this transition – with support from a team that's already done it.
What We're Building.
Two Dimensions of AI at JobLeads:
AI in Our Products: We build AI-powered features that millions of job seekers use – intelligent job matching, resume optimization, career coaching tools. You'll architect and ship AI features that directly impact our customers.
AI in How You Work: We've embraced AI as a development multiplier. You'll use cutting-edge AI coding tools to ship faster, and you'll help define how our engineering team leverages AI across the entire development lifecycle.
Your Team
JobLeads is a fully remote, AI-enabled company with a growing team of 100+ people. We're not "exploring" AI or running pilot programs. We're in production, shipping AI features weekly, making technical decisions based on what works – and you won't be figuring this out alone.
What You'll Be Doing:
Week 1:
You'll ship something. Actual code in production. We'll pair you with experienced engineers who'll help you navigate our systems and AI patterns.
Month 1:
You'll own an AI feature from conception to deployment. You'll learn model selection, prompt engineering, and AI architecture hands-on, with mentorship from engineers who've made this transition.
Month 3:
You'll influence our AI strategy based on what you've learned building and measuring real implementations.
What You'll Gain:
Production experience with AI orchestration and integration patterns
Hands-on work with LLMs, RAG systems, and the architectures that make AI actually work at scale
Fluency in AI-augmented development – not just using Copilot, but integrating AI tools deeply into how you architect, debug, and ship
The hardest currency in this field: knowing what works in production vs. what's just LinkedIn hype
What You'll Need:
Engineering Foundation (Required)
3–5 years of software engineering experience in production environments – we need people who understand how real systems work
Strong Python or JavaScript skills – not "can read it" but "can architect systems in it"
Proven track record building and deploying features that thousands of users depend on
Solid grasp of production fundamentals: version control, testing, deployment, CI/CD – the unglamorous stuff that makes code actually work at scale
The Right Mindset (Required)
You believe AI is fundamentally changing software development – you don't need convincing
You're frustrated that you haven't had the opportunity to work on this professionally
You want to make AI development your core competency, not just add it to a list of things you've tried
You're ready to rethink how you write software – AI isn't just something you build, it's something that changes how you build
What We Explicitly Don't Require
If you have these, great. If you don't but you have the engineering foundation and the drive to learn – that's who this role is for.
Prior experience building AI-powered features
AI/ML background or coursework
Side projects with LLMs or prompt engineering
Experience with specific AI frameworks
Why This Matters for Your Career.
In 2 years, job postings for "senior developer" will assume AI fluency – not just in what AI can do for you as a developer, but in what's possible with this new paradigm.
The question isn't whether you need this experience, it's where you'll get it.
Traditional companies will eventually adopt AI. When they do, they'll hire people with 2–3 years of production AI experience to lead those initiatives. This is your opportunity to become that person.
We're not looking for AI researchers or ML PhDs. We're looking for experienced software engineers who recognize this transition and want to make it happen.
You bring engineering excellence; we provide the projects and mentorship.
What You Can Expect:
Structured AI learning path from day one
Mentorship from engineers who've made this exact transition
Real production features, not sandbox experiments – learn by doing, not by watching
Within months, you'll have production AI experience that would take years to acquire at traditional companies
Influence technical decisions about models, architecture, and implementation approaches
Environment where "let's try it and measure it" beats months of planning
Work that matters: millions of users depend on what you build
Competitive compensation
Fully remote within Europe, flexible hours, minimal bureaucracy
Budget for conferences, training, and the tools you need
Annual company sailing week in the Mediterranean + team meetups across the EU
An international, diverse team that ships products, not PowerPoint
Ready to become an AI-native engineer? This is where that transition happens.