Senior AI Engineer (Agentic Systems & Automation)

Company Overview

Xcalibur Smart Mapping is a global leader in airborne geophysics and mapping, with over 100 years of accumulated experience and more than 1,400 projects completed across six continents.

Our mission is to combine technology and smart data to support responsible resource discovery, protect biodiversity and accelerate a just energy transition.

Position Overview

We are seeking a Senior AI Engineer (Agentic Systems & Automation) to lead the development of AI-powered automation across the company.

The role will focus on designing and deploying reliable AI agents, document-processing pipelines, internal assistants and automation tools for technical and corporate teams.

You will report to the AI Lead and work closely with Data Engineering and business teams.

This is a hybrid role in Madrid. Fully remote candidates may also be considered if their working hours overlap significantly with Madrid time. Madrid-based candidates are preferred.

Key Responsibilities

Design and deploy agentic AI systems using leading model providers.

Build workflows using structured outputs, tool calling, routing, budget controls and human approval where needed.

Develop document-processing and knowledge-search solutions for PDFs, scans, spreadsheets and internal documentation.

Integrate AI solutions with email, shared drives, CRM, ERP, databases and external APIs.

Turn prototypes into reliable production services using Docker, CI/CD, logging and monitoring.

Build evaluation frameworks, reference datasets and regression tests.

Monitor AI usage, costs, quality and performance.

Apply strong security, access control and data governance practices.

Support compliance with GDPR and the EU AI Act.

Work with business teams to identify and prioritise suitable automation opportunities.

Create reusable templates, internal guidelines and training materials.

Document technical decisions and maintain agreed architecture standards.

Qualifications & Experience

7+ years of software engineering experience, including production LLM systems.

Strong Python skills, including typing, Pydantic and pytest.

Direct experience with AI provider SDKs, structured outputs and tool calling.

Strong understanding of AI evaluation, testing and quality measurement.

Experience with Docker, CI/CD, cloud platforms, logging and monitoring.

Good knowledge of SQL, APIs, data pipelines and schema management.

Strong awareness of AI costs, security and access controls.

Ability to communicate clearly with both technical and non-technical stakeholders.

Professional English. Spanish is desirable.

Nice to Have

Experience with GCP Vertex AI or Azure OpenAI.

MCP, Claude Code or Claude Agent SDK.

Production RAG systems, hybrid search and permission-aware retrieval.

Temporal, Prefect, Airflow or similar orchestration tools.

AI evaluation tools such as promptfoo or Inspect.

Web search APIs, scraping and geospatial technologies.

What We Offer

Ownership of high-impact AI automation projects across the company.

Close collaboration with the AI Lead and multidisciplinary teams.

Hybrid work in Madrid or remote work with sufficient overlap with Madrid working hours.