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Lead AI Engineer (Agentic AI)(m/w/x)
Designing multi-agent AI architectures and RAG pipelines for life sciences regulatory automation. Production Python engineering with agentic frameworks and LLM integration required. Employee stock ownership plan, flexible hybrid setup.
Requirements
- Technical strength, curiosity, and drive to build AI systems
- Python engineering with shipped production systems
- 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, evaluation frameworks)
- Experience with agent evaluation frameworks and observability tooling (e.g. LangSmith or similar)
- 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 work
- Excited about working in a domain with real-world consequences
- Experience in life sciences, regulated industries, or GxP-compliant environments
- Experience with multi-agent systems and workflow orchestration
Tasks
- Design and implement multi-agent architectures
- Build and maintain scalable backend services
- Own agent orchestration logic
- Design and implement RAG pipelines
- Make production-grade decisions on LLM integration
- Set engineering standards for code quality
- Drive end-to-end feature ownership
- Mentor engineers
- Shape the engineering culture
- Collaborate with product and leadership
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangChain
- LangGraph
- Agno
- AWS
- GCP
- Azure
- LangSmith
Benefits
Competitive Pay
- Employee Stock Ownership Plan
Flexible Working
- Flexible working culture
- Hybrid setup with high trust, autonomy, and flexibility
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Lead AI Engineer (Agentic AI)(m/w/x)
Designing multi-agent AI architectures and RAG pipelines for life sciences regulatory automation. Production Python engineering with agentic frameworks and LLM integration required. Employee stock ownership plan, flexible hybrid setup.
Requirements
- Technical strength, curiosity, and drive to build AI systems
- Python engineering with shipped production systems
- 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, evaluation frameworks)
- Experience with agent evaluation frameworks and observability tooling (e.g. LangSmith or similar)
- 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 work
- Excited about working in a domain with real-world consequences
- Experience in life sciences, regulated industries, or GxP-compliant environments
- Experience with multi-agent systems and workflow orchestration
Tasks
- Design and implement multi-agent architectures
- Build and maintain scalable backend services
- Own agent orchestration logic
- Design and implement RAG pipelines
- Make production-grade decisions on LLM integration
- Set engineering standards for code quality
- Drive end-to-end feature ownership
- Mentor engineers
- Shape the engineering culture
- Collaborate with product and leadership
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- LangChain
- LangGraph
- Agno
- AWS
- GCP
- Azure
- LangSmith
Benefits
Competitive Pay
- Employee Stock Ownership Plan
Flexible Working
- Flexible working culture
- Hybrid setup with high trust, autonomy, and flexibility
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Visium SA
Industry
Pharmaceuticals
Description
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
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