Lead AI Engineer (Agentic AI)

Visium seeks a Lead AI Engineer to own and evolve the agentic layer powering its products, focusing on production-grade AI systems in life sciences. Based in Lausanne, this full-time hybrid role requires expertise in Python, agentic frameworks, RAG, and MLOps, with a strong emphasis on reliability and real-world impact.

This senior engineering role centers on developing and maintaining the agentic layer that drives Visium’s products, including multi-agent orchestration, RAG pipelines, and workflow engines. It is a production-focused position, not research, requiring foundational architecture decisions and collaboration with product and leadership to shape technical direction.

Responsibilities

• Design and implement multi-agent systems using Agno, LangChain, and LangGraph
• Develop and maintain scalable backend services and APIs in Python and FastAPI
• Manage agent orchestration, including task routing, tool integration, state handling, and human-in-the-loop workflows
• Create RAG pipelines for domain-specific data with strict accuracy, traceability, and compliance standards
• Make production-ready choices for LLM integration, prompting, and reliability patterns
• Establish engineering standards for code quality, testing, and deployment of agentic systems
• Own features from concept to production, ensuring end-to-end delivery
• Guide and mentor engineers as the team expands, shaping engineering culture
• Work closely with product and leadership to influence the technical roadmap

Requirements

• Proven experience as a Python engineer shipping production systems, not just prototypes
• Practical experience with agentic frameworks such as LangChain, LangGraph, or Agno
• Strong understanding of LLMs in production: prompting, tool use, orchestration, and failure handling
• Hands-on experience building RAG systems, including retrieval design, vector databases, embedding methods, and evaluation
• Familiarity with agent evaluation and observability tools like LangSmith, for tracing and debugging multi-agent interactions
• Comfortable working in cloud environments (AWS, GCP, or Azure) and designing distributed systems
• Experience with MLOps practices, including CI/CD, monitoring, and deployment pipelines
• Autonomous, collaborative, and committed to high-quality engineering outcomes
• Motivated by building AI systems with real-world consequences, especially in regulated domains

Nice to have

• Background in life sciences, regulated industries, or GxP-compliant environments
• Experience with multi-agent systems and workflow orchestration

What the company offers

• A competitive compensation package
• A flexible working culture that supports work-life balance
• An opportunity to impact thousands of users and contribute to company growth
• An international, knowledgeable, and collaborative team environment
• Employee Stock Ownership Plan

About the company

Visium is an enterprise AI company rooted in life sciences, developing AI systems to reduce documentation burdens for pharmaceutical teams. The company focuses on building reliable AI solutions with real-world impact, particularly in regulated environments, and values autonomy, trust, and flexibility in its work culture.

• International and passionate team with a collaborative mindset
• Focus on building AI with real-world consequences in regulated life sciences
• Autonomy and trust in the work environment
• Flexible and remote-friendly culture