AI Engineer

What it's all about

Are You Watching the AI Revolution from the Sidelines?
 
If you're a developer stuck in committee meetings discussing "AI governance frameworks" while your personal projects showcase what's actually possible... this role is for you.
 
You know the frustration: You've been experimenting with Claude-Code, Codex, and the latest embedding models in your evenings. You see exactly how AI could transform your company's product and way of working as a software developer. You've built proof-of-concepts that work in no time. But every proposal gets buried in compliance reviews, architecture board meetings, and "What about hallucinations?" conversations.

Meanwhile, the industry is moving. Fast.
 
The Reality Check.
 
You're not wrong to be concerned. While you're debating whether to adopt AI assistants, entire companies are being built on AI-first architectures. While your organization waits for "perfect" regulatory certainty, your hands-on AI experience gap grows wider. The market is diverging - and traditional enterprise experience alone won't be enough in 2 years.

We're hiring people like you specifically because of this gap.
 
What We're Actually Building?

Your Team:
JobLeads is a fully remote, AI-enabled company where your evening experiments become your day job. We're not "exploring" AI or running pilot programs. We're in production, shipping AI features weekly, and making technical decisions based on what works, not what committees approve.

What You'll Be Doing:
 
Week 1: You'll ship something. Not a plan. Not a proof-of-concept for approval. Actual code in production.
 
Month 1: You'll own an AI feature from conception to deployment, making technical decisions about model selection, prompt engineering, and architecture without waiting for permission from people who don't understand the technology.
 
Month 3: You'll influence our AI strategy based on what you've learned building and measuring real implementations.
 
This isn't a role where you'll write another "AI feasibility study." You'll write code. You'll deploy models. You'll iterate based on user feedback and performance metrics.

What You'll Need:

• Minimum of 3-5+ years of software engineering experience required 
• We need people who understand production systems, not just AI enthusiasts
• Proficiency in Python or JavaScript - not "can read it" but "can architect systems in it"
• Proven commercial experience building and deploying features that thousands of users depend on
• You're already using AI coding assistants extensively (Cursor, Codex, GitHub Copilot, etc.) because you understand they're not optional anymore—they're a the baseline for human contribution
• Real production experience with version control, testing, deployment, and all the unglamorous stuff that makes code actually work at scale

Technical Foundation:

• You understand how to evaluate models for specific use cases (human / AI based evals, performance-latency trade-offs, etc.)
• You know how to build reliable integration layers between AI and production systems
• You've worked hands on with at least one AI orchestration framework (LangChain, LlamaIndex, Hugging Face) 
• You can translate vague product requirements into working technical implementations

Nice If You Have:

• You've experimented with RAG systems that actually work in production (not just followed a tutorial)
• You have real cloud deployment experience (AWS, GCP, Azure) with services beyond basic compute
• You've contributed to open-source AI projects or have a GitHub portfolio that shows you *build* things, not just talk about them
• You've experimented with fine-tuning or model adaptation for specific use cases

Why This Matters for Your Career?
 
Blunt truth: In 2 years, "senior developer" won't mean what it means today. The market is splitting into those who can architect and ship AI-integrated systems, and those who can't.
 
Your current employer might be teaching you to be cautious. We need you to be competent and fast.
 
Traditional companies will eventually adopt AI, but they'll hire people with 2-3 years of production AI experience to lead those initiatives. That could be you, but only if you stop waiting for the legal department and start building during your working hours. 

We're not looking for AI researchers or ML PhDs. We're looking for experienced software engineers who are hungry to build with AI and frustrated that their current role won't let them.
 
If you've been building AI projects on weekends while your day job involves maintaining legacy systems, you're exactly who we want.

What You Can Expect On Board:

• Competitive compensation 
• Fully remote, flexible hours, zero bureaucracy
• Budget for conferences, training, and the tools you need
• Annual company sailing week in the Mediterranean + team meetups across the EU
• Build production AI features from day one
• Work with a team of 100+ people already executing on AI-first strategy
• Influence technical decisions about models, architecture, and implementation approaches
• Document experience that will be extremely valuable in 2-3 years when every company is finally ready to move
• An international, diverse team that ships products, not PowerPoints
• People who believe that code in production beats slides about potential
• Environment where "let's try it and measure it" beats "let's schedule a meeting to discuss governance"

In two years, "senior developer" will mean AI-native engineer. Companies will scramble to find people with real production experience — not just theoretical exposure. This is your opportunity to be ahead of that curve.

If you're tired of waiting for your company to catch up, it's time to work somewhere that's already shipping.

Apply now and turn your weekend AI projects into your full-time job.

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