AI Engineer (Global)

SUMMARY:
Join a globally recognised leader in airborne geophysics, smart mapping and natural resource intelligence, and help shape the future of AI. We’re seeking a AI Engineer to build and deploy AI-powered automation, agentic systems, intelligent document pipelines and internal AI assistants that solve real-world business challenges.

You’ll work fully remotely from South Africa working hours aligned to Madrid as part of an international AI team, reporting to the AI Lead.

POSITION INFO:
Key Responsibilities Design and deploy agentic AI systems using leading model providers, including Anthropic, Azure OpenAI, Google Vertex AI and open-source models. Build reliable workflows using structured outputs, tool calling, routing, budget controls and human approval where required. Develop document and knowledge-processing solutions for PDFs, scans, spreadsheets and internal documentation, including extraction, validation, search and citation. Integrate AI solutions with email, shared drives, CRM, ERP, internal databases and external APIs. Turn prototypes into reliable production services using containerisation, CI\/CD, logging, monitoring and runbooks. Build and maintain evaluation frameworks, reference datasets, regression tests and quality metrics. Monitor model usage, token consumption, cost and performance, with alerts when quality or spend moves off target. Apply security-by-design principles and keep solutions in line with data protection and AI regulations, including GDPR and the EU AI Act. Minimum Requirements 3+ years of software engineering experience, including at least 1 year of hands-on experience building LLM-based solutions that are live in production. Solid Python skills, including typing, Pydantic, pytest and modern dependency management. Direct experience with AI provider SDKs: structured outputs, tool calling, prompt caching and token management. Strong understanding of AI evaluation methodologies, quality measurement and regression testing. Experience with Docker, CI\/CD, cloud infrastructure, logging and monitoring. Strong data engineering fundamentals: SQL, APIs, schema management, data pipelines and formats such as Parquet. Experience running AI systems within defined cost and resource limits. Strong understanding of LLM security and responsible tool access. Ability to explain technical limitations and recommendations clearly to non-technical stakeholders. Professional English for documentation, code and communication. Advantageous GCP (Vertex AI) or Azure (Azure OpenAI) MCP, Claude Code or Claude Agent SDK Production RAG systems: hybrid search, reranking, citations, permission-aware retrieval Workflow orchestration (Temporal, Prefect or Airflow) Geospatial technologies (GeoParquet, ArcGIS REST, PMTiles) What's on Offer Fully remote role from South Africa with an international team Ownership of high-impact AI automation across the business Close collaboration with an experienced AI Lead and multidisciplinary teams Please apply directly by clicking on the Apply button or visit If you have not had any response within one week, please consider your application unsuccessful. Your CV will be kept on file for any further suitable positions.