Orbitant

Role Description At Orbitant we are looking for Python Engineers (mid and senior, remote). We are looking for engineers who don't just write code. They make the decisions that determine what to build and why. - Designing, developing, and maintaining applications using Python and Django following best practices. - Participating in the design of clean, scalable, and maintainable architectures. - Reviewing and improving code to ensure quality and consistency. - Collaborating with both technical and business stakeholders. - Mentoring teammates and helping them grow professionally. - Sharing knowledge and best practices across the team. - Proposing new ideas, technologies, or process improvements that create real value. - Contributing to cross-company initiatives (training, innovation activities, etc.). - Taking ownership of the software you put into production and ensuring it meets our quality standards. Qualifications - Enjoy learning and sharing knowledge. - Feel comfortable communicating with teammates and clients. - Collaborate proactively and aren't afraid to ask questions or propose ideas. - Bring their own ideas instead of waiting for tasks to be assigned. - Go a little further than expected and create real impact. - Have curiosity, a continuous-improvement mindset, and a desire to build things they're proud of. Requirements - Must-have: - Strong experience with Python and Django. - Experience with Celery and Django REST Framework (DRF). - Good understanding of clean, scalable, and maintainable architectures. - Ability to write clean, well-documented, and tested code. - Strong teamwork and communication skills. - Proactive mindset and willingness to propose ideas and solutions. - Lean-oriented way of working. - Knowledge of CI/CD tools. - Focus on creating value and continuous improvement. - Desire to learn, teach others, and share knowledge. - Nice to have: - English level sufficient to communicate with international clients and teams. - Interest in cloud infrastructure. - Knowledge of Docker/Kubernetes. - Experience with AI, or curiosity to learn and work with it daily. - Experience with microservices architectures. - Experience mentoring and helping others grow. Benefits - 100% remote work (Spain-based). - Access to our top-tier office in Madrid whenever you want. - Real flexibility. - Latest-generation MacBook. - Training and mentoring. - Salary range: €35,000 – €53,000 gross/year. - Referral bonus. - Join an amazing team that's excited to welcome you.

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

Role Description At Orbitant we are looking for a Software Engineer (mid and senior) specialized in Node + Express (remote). What are we looking for? - Software Engineers and Senior Software Engineers specialized in Node and Express. - Experience in different types of projects and environments. - A strong desire to keep growing. - 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. Responsibilities: - Design, develop, and maintain applications using Node + Express following best practices. - Participate in the design of clean, scalable, and maintainable solutions and architectures together with other team members. - Review and improve code, ensuring quality and consistency. Ability to work with legacy code. - Work collaboratively with both technical and business profiles. - Mentor colleagues, driving their professional development. - Share knowledge and best practices within the team and at Orbitant. - Propose new ideas, technologies, or process improvements that add real value. - Collaborate in cross-functional company activities (training sessions, innovation initiatives...) - Be responsible for the software you put into production and ensure it meets quality standards. Qualifications - Solid experience developing with Node + Express. - Good understanding of clean, scalable, and maintainable architectures. - Ability to write clean, well-documented, and tested code. - Ability to work as part of a team, collaborate actively, and communicate clearly. - Proactivity to propose ideas and solutions. - Lean work approach. - Knowledge of CI/CD tools. - Attitude oriented towards adding value and seeking continuous improvement. - Desire to learn, teach others, and share knowledge. - Level of English that allows communication with international team and clients. Requirements - Passion for researching, learning, and trying new tools. - Experience working with Cloud infrastructure. - Knowledge of Docker/Kubernetes. - Experience with AI or curiosity to learn and work with it day-to-day. - Experience with microservices-based architectures. - Experience mentoring and helping other people grow. - Experience with testing. - Experience working on systems integration. 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 €33,000 and €53,000 gross per year. - Referral bonus. - Real growth opportunities. - Be part of a spectacular team that can't wait for you to join.