[Hiring] AI Engineer @Orbitant

Role Description

At Orbitant we are looking for AI Engineers (mid and senior, remote) specialized in building production-grade systems with LLMs, with experience across different types of projects and environments, but above all with a strong desire to keep growing.

We are looking for people who not only code, but understand the why behind what we do, and want to deliver real value. We don't hire someone for a project, but people we want to work with long-term.

Responsibilities

• Design, build, and ship to production AI agents and LLM-based systems for national and international clients — from scoping with the client to deployment and operation.
• Take projects from pilot to production: define the evaluations that matter, instrument traceability, and ensure that what ships meets the agreed business outcomes.
• Implement and maintain RAG systems over client documentation and knowledge: chunking strategy, retrieval, reranking, ingestion pipelines.
• Design multi-step agent and workflow architectures (e.g. with LangGraph) — state management, tool use, error recovery, cost management.
• Build evals (offline and online) with tools like Langfuse: define metrics, datasets, benchmarks against real outcomes — not against "the demo works".
• Design and integrate MCP servers and connect agents with existing client systems (ERPs, CRMs, internal tools).
• Contribute to Orbitant's internal AI-first platform: reusable skills, libraries, templates, and components that accelerate delivery of future projects.
• Question the "why" before the "how" — collaborate with business profiles to define the outcome before the architecture.
• Review and improve code (your own and your teammates'), work with legacy code when needed, and maintain high quality standards.
• Mentor more junior teammates and share learnings (technical sessions, documentation, code reviews).
• Propose new techniques, tools, and processes when they add real value (not for hype).
• Be accountable for what you put in production: cost, latency, observability, failures.

Qualifications

• Experience building production systems with LLMs: agents, RAG, generation pipelines, automations.
• Solid Python as your main working language.
• Hands-on knowledge of an agent/workflow orchestration framework (e.g. LangGraph, LangChain, etc.).
• Experience designing and implementing evaluations (evals) and traceability of LLM-based systems (e.g. Langfuse or another observability tool).
• Real understanding of prompt engineering: structuring, techniques (few-shot, CoT, structured output, tool use).
• Experience with Vector DBs (pgvector, Qdrant, Pinecone, Weaviate, Chroma...) and RAG patterns (chunking, retrieval, reranking).
• Ability to reason about trade-offs between providers and models (cost, latency, context window, capabilities) without being locked into a specific API.
• Anthropic power user: hands-on mastery of Claude Code, Claude SDK, and the Anthropic ecosystem.
• MCP (Model Context Protocol): designing or consuming MCP servers.
• Solid engineering practices: clean code, testing, CI/CD, version control, ability to work with legacy code.
• Level of English that allows communication with international team and clients.
• "Pilot-to-production" mindset: errors, retries, observability, cost, offline + online evals.

Requirements

• TypeScript/Node for full-stack integrations and AI-native product backends.
• Experience with Cloud infrastructure (AWS/GCP/Azure) and knowledge of Docker/Kubernetes.
• Experience with fine-tuning or lightweight training (LoRA, custom embeddings, reranking).
• Experience mentoring and helping other people grow.
• Knowledge of AI security and privacy (PII, prompt injection, jailbreaks, data leakage).
• OSS contributions, papers, talks, or public AI side-projects.

Benefits

• 100% remote work (Spain-based)
• Top office in Madrid with free attendance
• Real flexibility
• Latest generation MacBook
• Claude license
• Training and mentoring
• Flexible benefits with the possibility of health insurance
• Salary between €40,000 and €60,000 gross per year
• Referral bonus
• The chance to build the kind of engineering that gives companies escape velocity, and to reach your own
• Be part of a spectacular team that can't wait for you to join