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# AI Engineer - EU

- **Company:** Space Inch
- **Location:** Spain (Remote available)
- **Salary:** €61,200.0 - €81,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon S3, Audit Trail, Software Quality, Continuous Integration, Dependency Injection, Python (Programming Language), Key Management, Node.Js, Message Oriented Middleware, Software Engineering, Systems Integration, TypeScript, WebSocket, Data Logging, Large Language Models, Multi-Agent Systems, Caching, Backend, Fastapi, Kubernetes, Apache Kafka, Graphql, TensorRT, Docker
- **Published:** August 4, 2026
- **Apply:** https://www.jobleads.com/es/job/e1b4ba15b0d952dcd6a0c959f36d267ba

## About the Role

* 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), * 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

## Description

* 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


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