Lead AI Engineer (Agentic AI)

About us

Regulatory submissions that take months. Deviation reports that pile up on QA desks. Pharmaceutical teams spending their best hours os 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