Lead AI Engineer (Agentic AI) (Madrid)

Lead AI Engineer (Agentic AI) (Madrid)

30 jul
|
Visium
|
Madrid

30 jul

Visium

Madrid

About Us Regulatory submissions that take months. Deviation reports that pile up on QA desks. Pharmaceutical teams spending their best hours on documentation instead of science.

We are building the AI systems that change this. Visium is an enterprise AI company with deep roots in life sciences. Our two products, Scribe and Devin, are purpose‑built for pharma teams operating in GxP‑regulated environments, and are gaining traction with leading life sciences organizations across Europe.

Scribe automates the drafting of regulatory documents, keeping human experts in control at every step. Devin handles deviation management end to end, from event capture to root cause analysis and corrective action generation.

We are now building the team that takes these products further. If you want to work on AI that genuinely matters, this is the role.

Role You will own and evolve the agentic layer that powers our products. That means designing and building the multi‑agent orchestration systems, RAG pipelines, tool‑use architectures, and workflow engines that sit at the core of what we build. This is a senior engineering role with real production stakes. You will make foundational architecture decisions, shape engineering standards, and work directly with product and leadership from day one. It is not a research role. It is a building role.

Key Responsibilities

Design and implement multi‑agent architectures using Agno, LangChain, and LangGraph

Build and maintain scalable backend services and APIs in Python and FastAPI

Own agent orchestration logic: task routing, tool use,



state management, and human‑in‑the‑loop integration

Design and implement RAG pipelines over domain‑specific data, with strict requirements for accuracy, traceability, and compliance

Make production‑grade decisions on LLM integration, prompting strategies, and reliability patterns

Set engineering standards for code quality, testing, and deployment of agentic systems

Drive end‑to‑end feature ownership from design through to production

Mentor engineers and actively shape the engineering culture as the team grows

Collaborate closely with product and leadership to influence the technical roadmap

Requirements You bring technical strength, curiosity, and a drive to build meaningful AI systems. Here is what helps you succeed in this role:

A strong Python engineer who has shipped production systems, not just prototypes

Hands‑on with agentic frameworks (LangChain, LangGraph, Agno, or similar)

Fluent in LLMs in production: prompting, tool use, orchestration, failure modes

Experience building production RAG systems: retrieval architectures, vector databases, embedding strategies, and evaluation frameworks





Experience with agent evaluation frameworks and observability tooling (e.g. LangSmith or similar): tracing agent behavior, debugging multi‑agent interactions, and ensuring reliability in production

Comfortable with cloud environments (AWS, GCP, or Azure) and distributed system design

Experienced with MLOps practices: CI/CD, monitoring, deployment pipelines

Autonomous, low ego, and serious about what you build

Excited about working in a domain where the quality of your work has real‑world consequences

Nice to have

Experience in life sciences, regulated industries, or GxP‑compliant environments

Experience with multi‑agent systems and workflow orchestration

Benefits What we offer

A competitive compensation package A versátil working culture because your work‑life balance matters to us A position that enables you to have an impact on 1'000s of people, and the whole company's growth An international, knowledgeable, and passionate team with a strong collaborative mindset

Employee Stock Ownership Plan

Why Join Us

Work with autonomous agents, orchestration runtimes, and knowledge retrieval systems

Build technology that transforms how life‑science experts research, decide, and create

Shape architecture, culture, and direction from the very beginning

Collaborate with world‑class engineers and researchers who share a deep passion for AI

Hybrid setup with high trust, autonomy, and flexibility

Competitive compensation and the chance to be part of a company defining a new AI category

📌 Lead AI Engineer (Agentic AI) (Madrid)
🏢 Visium
📍 Madrid

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