AI Engineer

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 dont 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 dont 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 dont 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 Orbitants 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
• Flexible benefits with the possibility of health insurance
• Salary between 40000 and 60000 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 cant wait for you to join

If you think youre a good fit dont hesitate to apply and if you have any questions or want to know more feel free to reach out :)