Lead AI Engineer (Agentic AI)

ph3About us /h3 pRegulatory submissions that take months. Deviation reports that pile up on QA desks. Pharmaceutical teams spending their best hours on documentation instead of science. /p pWe are building the AI systems that change this. /p pVisium 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. /p pWe are now building the team that takes these products further. If you want to work on AI that genuinely matters, this is the role. /p h3Role /h3 pYou 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. /p pThis 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. /p pKey Responsibilities: /p ul liDesign and implement multi‑agent architectures using Agno, LangChain, and LangGraph /li liBuild and maintain scalable backend services and APIs in Python and FastAPI /li liOwn agent orchestration logic: task routing, tool use, state management, and human‑in‑the‑loop integration /li liDesign and implement RAG pipelines over domain‑specific data, with strict requirements for accuracy, traceability, and compliance /li liMake production‑grade decisions on LLM integration, prompting strategies, and reliability patterns /li liSet engineering standards for code quality, testing, and deployment of agentic systems /li liDrive end‑to‑end feature ownership from design through to production /li liMentor engineers and actively shape the engineering culture as the team grows /li liCollaborate closely with product and leadership to influence the technical roadmap /li /ul pYou bring technical strength, curiosity, and a drive to build meaningful AI systems. Here is what helps you succeed in this role: /p ul liA strong Python engineer who has shipped production systems, not just prototypes /li liHands‑on with agentic frameworks (LangChain, LangGraph, Agno, or similar) /li liFluent in LLMs in production: prompting, tool use, orchestration, failure modes /li liExperience building production RAG systems: retrieval architectures, vector databases, embedding strategies, and evaluation frameworks /li liExperience with agent evaluation frameworks and observability tooling (e.g. LangSmith or similar): tracing agent behavior, debugging multi‑agent interactions, and ensuring reliability in production /li liComfortable with cloud environments (AWS, GCP, or Azure) and distributed system design /li liExperienced with MLOps practices: CI/CD, monitoring, deployment pipelines /li liAutonomous, low ego, and serious about what you build /li liExcited about working in a domain where the quality of your work has real‑world consequences /li /ul pNice to have: /p ul liExperience in life sciences, regulated industries, or GxP‑compliant environments /li liExperience with multi‑agent systems and workflow orchestration /li /ul pWe know that great candidates might not check every box. If you’re excited about this role and believe you could contribute, we’d love to hear from you. /p h3What we offer /h3 ul liA competitive compensation package /li liA flexible working culture because your work‑life balance matters to us /li liA position that enables you to have an impact on 1’000s of people, and the whole company's growth. /li liAn international, knowledgeable, and passionate team with a strong collaborative mindset /li liEmployee Stock Ownership Plan /li /ul h3Why Join Us /h3 ul liWork with autonomous agents, orchestration runtimes, and knowledge retrieval systems /li liBuild technology that transforms how life‑science experts research, decide, and create /li liShape architecture, culture, and direction from the very beginning /li liCollaborate with world‑class engineers and researchers who share a deep passion for AI /li liHybrid setup with high trust, autonomy, and flexibility /li liCompetitive compensation and the chance to be part of a company defining a new AI category /li /ul /p #J-18808-Ljbffr