Landbot

AI Engineer – Agentic Systems, Backend

Landbot

full-time

Posted on:

Location Type: Remote

Location: Spain

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About the role

  • Co-define Landbot’s technical vision for agentic systems.
  • Translate high-level product and business problems into concrete agentic architectures and system designs.
  • Act as a technical reference for agentic patterns, trade-offs, and best practices across teams.
  • Design and build production-grade agentic systems including context engineering and memory strategies.
  • Integrate LLMs into backend systems with clear APIs, contracts, and failure modes.
  • Build guardrails, safety mechanisms, and fallback strategies to ensure predictable behavior in production.
  • Design scalable backend architectures to support AI workloads at scale.
  • Build and maintain APIs, services, and data pipelines that power AI agents.
  • Mentor and guide other engineers working on AI and backend systems.
  • Participate in architectural reviews and help raise the bar for engineering quality.
  • Collaborate closely with Product, Data, and Design to turn ideas into shipped value.

Requirements

  • Proven hands-on experience shipping LLM-powered features or systems to production, beyond prototypes or internal demos.
  • Experience with modern LLMs and providers (OpenAI, Anthropic, Google, and/or open-source models), including their trade-offs in quality, latency, and cost.
  • Hands-on experience with Agentic architectures and workflows, Context Engineering and Retrieval-Augmented Generation (RAG).
  • Practical understanding of the full lifecycle: experimentation → evaluation → deployment → monitoring.
  • Experience designing evaluation frameworks for LLM systems.
  • Comfortable operating in ambiguity and shaping problems, not just solving predefined tasks.
  • Product-minded: you care about real users and real outcomes.
  • You are fluent in English and Spanish.
  • Eligibility to work in Spain.
Benefits
  • Hybrid work model: flexibility to work remotely, from our Barcelona office 🏙️, or a combination of both.
  • Collaborative work environment.
  • Flexible working hours.
  • Paid time off and flexible holidays: 26 paid days per year (23 regular days + December 24th & 31st) 🎉, plus one additional day off on your birthday.
  • Annual budget for training and professional development 📚.
  • Transportation ticket 🚋.
  • English and Spanish lessons 🇬🇧 🇪🇸.
  • Flexible compensation plan through Cobee.
  • Team-building activities.
  • Referral program with bonuses for bringing in talented professionals.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
LLM integrationagentic architecturescontext engineeringmemory strategiesAPI developmentdata pipelinesscalable backend architecturesevaluation frameworksRetrieval-Augmented Generation (RAG)AI workloads
Soft Skills
mentoringcollaborationproblem-solvingoperating in ambiguityproduct-mindedcommunicationtechnical referencearchitectural reviewsguidanceevaluation