Senior Engineering Product Manager (AI)

TL;DR

Senior Engineering Product Manager (AI): Own and evolve the agentic layer powering enterprise AI products for pharma teams, with an accent on multi-agent orchestration, RAG pipelines, tool-use architectures, and workflow engines. Focus on production-grade LLM integration, reliability patterns, and compliance-oriented retrieval with real production stakes.

Location: Barcelona, Catalonia, Spain; Zürich, Zurich, Switzerland; Lausanne, Vaud, Switzerland

hirify.global builds enterprise AI systems for life sciences teams in GxP-regulated environments.

What you will do

• 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 including task routing, tool use, state management, and human-in-the-loop integration.
• Design and implement RAG pipelines over domain-specific data with accuracy, traceability, and compliance requirements.
• Make production-grade decisions for LLM integration, prompting strategies, and reliability patterns.
• Set engineering standards for code quality, testing, and deployment; mentor engineers and drive end-to-end feature ownership.

Requirements

• Strong Python engineering experience shipping production systems (not only prototypes).
• Hands-on experience with agentic frameworks such as LangChain, LangGraph, Agno, or similar.
• Production experience with LLMs: prompting, tool use, orchestration, and failure modes.
• Production RAG experience: retrieval architectures, vector databases, embedding strategies, and evaluation frameworks.
• Experience with agent evaluation and observability tooling (e.g., LangSmith or similar) for tracing and debugging multi-agent behavior.
• Comfort with cloud and distributed systems (AWS, GCP, or Azure) and MLOps practices (CI/CD, monitoring, deployment pipelines).

Culture & Benefits

• Hybrid setup with high trust, autonomy, and flexibility.
• Flexible working culture focused on work-life balance.
• Employee Stock Ownership Plan (ESOP).
• Competitive compensation package.
• Opportunity to build AI that impacts thousands of people and shapes a new AI category.