AI Engineer

Role overview Design and ship production AI systems for a software product studio that builds digital products for startups and growing companies. This is a hands-on engineering role focused on real applications, not research: you will own AI features, agents, and integrations end to end and make them reliable at scale.

Responsibilities

- Architect AI-powered features and multi-agent systems for both client products and internal ventures - Integrate large language models into production applications, including orchestration, evaluation, and reliability work - Build backend APIs and services around AI functionality using REST and MCP - Design the surrounding infrastructure: monitoring, tracing, logging, and prompt management - Tackle accuracy and reliability challenges through structured evaluation and iteration - Explore new models, providers, and patterns to keep the stack current

Requirements

- 3+ years of professional software development experience - Track record of shipping production AI features that solve real user problems - Familiarity with RAG architectures, embeddings, and vector databases - Experience with AI evaluation and testing frameworks - Practical prompt engineering skills, including managing prompts at scale - Strong TypeScript and Node.js fundamentals - Working knowledge of multiple AI providers and models (such as Anthropic and OpenAI) and their tradeoffs - Pragmatic approach to balancing speed and quality - Strong written and spoken English at B2 or above - Comfort working asynchronously

Benefits and work setup

- Remote-first, working from anywhere within CET-aligned time zones - Competitive compensation, paid reliably and on time - Real ownership over AI strategy, not just prompt implementation - Small team environment with high individual impact - Equipment support to set up a home workspace - Interview process focused on real engineering, not algorithm puzzles