# Senior AI / LLM Agent Engineer - Company: [Causaprima]() - Location: Madrid · Munich - Team: ENGINEERING - Employment type: Full Time - Posted: April 6, 2026 ## Job description You'll be core to our product — designing, building, and operating the autonomous agents that power Causa Prima. From invoice validation and dispute resolution to cross-company negotiation and cash optimization. **What you'll do** * **Agent architecture** — Design the multi-agent system: agent boundaries, event contracts, orchestration patterns, and the separation between LLM reasoning and deterministic enforcement. LLMs inform; rules enforce. * **Document processing pipeline** — Ingestion, classification, and structured extraction from financial documents (invoices, contracts, purchase orders) using LLM-based parsing and vision models. Sandboxed processing for untrusted documents. * **Validation & anomaly detection** — Business rule checks, three-way matching, pricing discrepancy detection, and anomaly detection across time. * **Integration framework** — Gmail, Google Drive, Slack, banking APIs, crypto wallets, and accounting platforms. Auth model, credential lifecycle, data normalization. * **Knowledge graph** — Neo4j context graph that captures implicit business knowledge — the “why” behind decisions. Entity extraction, GraphRAG patterns, provenance tracking. * **Multi-LLM strategy** — Per-agent model selection, structured output contracts via Pydantic schemas, evaluation framework, fallback strategy. * **Compliance & security** — Agents operate within a zero-trust model. You’ll design how agents verify independently against source data, how outbound content is reviewed, and how the system prevents cascading failures from prompt injection. **What we're looking for** * 3+ years experience with Python and/or TypeScript in production. * Strong systems design thinking — agent boundaries, failure modes, trust boundaries, contract evolution. * Strong interest and hands-on experience in LLM-powered systems, agent orchestration frameworks (LangGraph, LangChain, or similar), and document AI (LlamaIndex, LlamaParse, or similar). * Strong opinions about when to use an LLM vs. a rules engine vs. traditional ML — and the courage to defend them. * Experience designing data pipelines, integration architectures, or event-driven systems in production. * Security awareness — you think about what happens when untrusted input meets your pipeline. * Effective use of AI coding tools with strong review skills for LLM integration and auth code. * Interest in the finance domain — financial workflows, accounting processes, payment systems — is a strong plus. ## Apply [Apply on Causaprima]() Canonical job page: