At Orbitant we are looking for AI Engineers (mid and
senior, remote). What is Orbitant? Humanity is living through its
greatest acceleration. This is not a trend; it is a civilizational
inflection point. The companies that will define the next era are
not the ones with the most code, but the ones with the best
judgment about what to build, how to architect it, and why it
matters. Orbitant exists to provide that thrust. We are looking for
engineers who don't just write code. They make the decisions that
determine what to build and why. Our pillars: Solid engineering, no
shortcuts. We build with intent, good practices, and a long-term
vision, designing clean, scalable, and maintainable solutions.
Innovation with common sense. We explore emerging technologies,
analyze them, and incorporate what truly adds value, avoiding
passing trends. Business-oriented technology. We always understand
the why before the how. Every technical decision aligns with
strategic objectives to drive impact and deliver value to the
business. At Orbitant we promote: Teamwork and ownership of your
work Sharing knowledge and learning constantly. Flexibility and
freedom to carry out your work day-to-day. Push toward a higher
orbit, for clients, for the team, and for yourself Mentoring and
being mentored. Constant growth. Automating and working in an
AI-first way, betting on tools that help us. Enjoying what we do
and feeling proud of the result. What are we looking for? At
Orbitant we are looking for AI Engineers (mid and senior)
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. Beyond experience,
what we value most is attitude and alignment with our values. We
are looking for people who: Enjoy learning in their day-to-day and
sharing that knowledge Feel comfortable communicating with their
team and with clients. Collaborate actively, without fear of asking
or proposing. Bring their own ideas and don't simply wait to be
assigned tasks. Seek to go a little beyond what is expected, always
generating real impact. Have curiosity, a continuous improvement
mindset, and a desire to build things to be proud of. 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: Among the main responsibilities you will have, we
can highlight: 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. Requirements: Must-have: 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. Nice
to have: 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. What we offer: 100% remote work
(Spain-based) Top office in Madrid with free attendance Real
flexibility Latest generation MacBook Claude license Training and
mentoring Adaptable 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 If you think
you're a good fit, don't hesitate to apply, and if you have any
questions or want to know more, feel free to reach out
:)

📌 AI Engineer (Madrid)
🏢 Orbitant
📍 Madrid