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.
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
With a founder, not a recruiter. Your background, our work, and mutual honesty about fit.
A real engineering conversation about systems you've built and problems we actually have. No algorithm puzzles.
A short, scoped exercise grounded in our real work — walked through together, never a take-home marathon.
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.
Simplicity over complexity. Outcomes over elegance. Real problems, real solutions.
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 →