AI Engineer - EU

New Mission. New Stack. New Team. Space Inch is on a new mission to redefine B2B experiences, and we’re looking for AI experts to help us build the next generation of intelligent workflows. We are looking for a dedicated AI Engineer to own the end-to-end delivery of production-ready LLM services, turning complex data into fast, reliable, and grounded recommendations at scale. This is a high-impact role where you’ll build and operate the core AI systems that power our platform with production-grade performance. We’re expanding quickly and bringing on multiple teammates to contribute across several new projects built on this stack. If you’re a builder who loves AI and you’re looking to join our growing AI team, we’d love to have you with us! About Working At Space Inch

• Our team (about 80 people) is primarily based in Croatia, with members in South America, Serbia, and the US. We focus on remote work, and have an office in Zagreb for those who prefer hybrid and are located nearby.
• Occasional travel may be required, including our annual company retreats in Croatia.
• We work on end-to-end projects with long-term vision.
• We strongly support work/life balance for our team members.

Requirements

• Our ideal candidate’s core tech stack:

• Languages & APIs: Python (FastAPI), TypeScript (Node/Nest BFF), REST/GraphQL, WebSocket/SSE
• Python + FastAPI production experience (async, dependency injection, testing)
• Comfortable integrating with TypeScript/Node

• Built APIs with REST/GraphQL and at least one streaming pattern (SSE/WebSocket)

• LLM & RAG: embedding stores (pgvector / OpenSearch / etc), chunking strategies, re-rank, hybrid search; prompt tooling & templates; guardrails
• Observability & quality: structured logging, tracing, metrics; experiment/eval tooling (e.g., Langfuse-style telemetry), offline/online A/Bs
• Data & pipelines: robust CSV/Sheets ingestion, schema validation, PII handling, backfills, scheduled jobs
• Agentic experience (not day-one usage): familiarity with MCP and agent frameworks, tool design, constrained execution, and safe planning, so you can leverage them when they’re the right fit

• Can work effectively in CET timezone Nice to have

• LLM serving optimization (vLLM, TensorRT-LLM), quantization/LoRA know-how
• Retrieval eval frameworks, cross-encoder rerankers, response grading
• Experience with cost controls, token budgeting, and prompt compression
• Serving & infra: Docker, Kubernetes, CI/CD; model gateways (e.g., LiteLLM/vLLM) and caching; object storage (S3-compatible); message bus (Kafka or equivalent)
• Security & privacy: tenant-aware access controls, secrets management, audit logs, privacy and safety red-teaming basics

• 4-6+ years software engineering (product environments), ideally with 2+ years hands-on experience in shipping LLM/GenAI to production
• Proven track record owning services end-to-end (design, implementation, rollout, monitoring, and iteration)
• Clear writing, pragmatic decision-making, and comfort collaborating with Mobile, Backend, and Ops (Dev/LLM)
• Experience with technologies

Qualities for success

• Proactive, solutions-driven mindset
• Strong attention to detail and code quality
• Comfortable making technical decisions independently
• Passion for learning and improving
• Ownership mentality, i. e. you care about the end product

• Monthly salary: 5,100.00 - 6,800.00 EUR gross for a full-time B2B collaboration
• Remote-first opportunity
• Stay active: sports membership or wellness subsidy
• Health & Wellbeing: 23 days of PTO, annual health checkup budget
• Grow with us: Education budget to fuel learning and professional development

Space Inch is not responsible for any job boards scraping this ad without showing the position as remote, but European Union exclusive. Applicants from outside of the EU will not be considered.