AI First Developer
Smartcat
| Company | Smartcat |
| Category | Engineering |
| Location | Europe |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 22 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM
We are building the future of software development — AI-First is the new standard . You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.
MISSION
As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.
OUTCOMES
Consistently deliver high-quality, production-grade features faster than traditional teams.
Build and optimize AI-first workflows that integrate AI across all development stages.
Raise the bar for speed, quality, and ownership in product delivery.
Be a core contributor to the new engineering culture built on AI-First principles.
HOW YOU’LL RAMP
By Day 30:
Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
Contribute to improving workflows for even faster delivery.
By Day 60:
Independently own the full lifecycle of feature delivery through AI-first methods.
Identify and drive improvements in velocity, automation, and team efficiency.
Partner with Product and Tech Leads to aggressively accelerate time-to-market.
By Day 90:
Deliver features faster and with higher quality than baseline teams.
Actively mentor others on using AI as a multiplier across development.
Become a key driver of the AI-First engineering standard inside the company.
WHAT YOU’VE ACCOMPLISHED:
Proven track record of delivering production-grade products using AI-driven approach.
Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
Strong technical foundation in AWS, .NET, Python, and MongoDB .
Obsessed with delivery: you ship, you improve, you own the outcome.
Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.
Why joining Smartcat might be your best move so far
A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbi
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