AI Engineer
We're looking for an AI Engineer who builds production AI systems, not just prototypes. You'll design and ship AI-powered features, agents, and integrations across our client products and internal ventures — making AI work reliably inside real applications.
This isn't a research role. You'll build, ship, and own AI systems in production.
Ready to apply?
One form, no ATS black hole. A founder reads every application — you get an answer either way.
Apply now ↓What you'll do
- Architect and build AI-powered features and multi-agent systems for client and internal products
- Integrate LLMs into production applications — handling orchestration, evaluation, and reliability
- Build backend APIs and services around AI functionality (REST, MCP)
- Design infrastructure around AI systems: monitoring, tracing, logging, prompt management
- Solve complex accuracy and reliability challenges through iteration and proper evaluation
- Explore and experiment with new models, providers, and patterns to keep our stack current
What we look for
- 3+ years of professional software development experience
- Experience building production AI features that are reliable and solve real user problems
- Familiarity with RAG architectures, embeddings, and vector databases
- Experience with AI evaluation and testing frameworks — you know how to measure if your system actually works
- Practical prompt engineering skills and experience managing prompts at scale
- Strong product engineering fundamentals with TypeScript and Node.js
- Familiarity with multiple AI providers and models (Anthropic, OpenAI), understanding tradeoffs
- Pragmatism and ability to balance speed and quality
- Strong communication skills and comfort working async
- English level B2+, written and spoken
Nice to have
- Experience with fine-tuning or training models
- Knowledge of AI security — prompt injection, guardrails, safe output handling
Not a good fit if you're
- More of an AI end user than a builder of production-ready systems
- A researcher, ML engineer, or data scientist looking for a research-focused role
- Limiting yourself to prompt engineering only
What we offer
- Competitive compensation — paid reliably and on time, always
- Remote-first — work from anywhere in CET-aligned time zones
- Real ownership — shape AI strategy, not just implement prompts
- Small team, big impact — your work matters here
- Equipment support to set up your workspace
- No algorithm puzzles in interviews — we focus on real engineering
What happens next
Intro call — 30 minutes
With a founder, not a recruiter. Your background, our work, and mutual honesty about fit.
Technical deep-dive — ~75 minutes
A real engineering conversation about systems you've built and problems we actually have. No algorithm puzzles.
Practical session
A short, scoped exercise grounded in our real work — walked through together, never a take-home marathon.
Offer
Direct and in writing: compensation, expectations, start date. Then we build.
Apply for this role
Link to something you've built and a few honest lines on why this role. No cover-letter theater.
We're builders. We build for clients, we build with partners, and we build for ourselves. Our team brings over a decade of engineering experience across HR tech, hospitality, sports, fintech, and SaaS — building everything from distributed crawlers to microservice architectures to AI-backed platforms. Read the README →