Overview
We are seeking an experienced Artificial Intelligence Engineer to design, build, and deploy multi-agent AI solutions in a hybrid working environment. This hands-on role focuses on delivering robust and secure systems that prioritize operational effectiveness over speed. The engineer will collaborate with a team to ensure successful deployment and integration of AI technologies across various environments.
Responsibilities
- Design and build multi-agent systems using modern orchestration frameworks.
- Integrate large language models and vision-language models into operational workflows.
- Deploy solutions across cloud, on-premises, and disconnected environments.
- Build end-to-end pipelines for data ingestion to model inference.
- Implement monitoring for agent behavior and model performance.
- Provide technical leadership on agentic AI approaches to junior engineers.
Requirements
- Proven experience in delivering multi-agent or agentic AI systems into production.
- Strong Python skills with hands-on experience in agent/orchestration frameworks.
- Experience deploying AI/ML solutions in live environments.
- Working knowledge of Docker, Git, and cloud infrastructure (preferably AWS).
- Understanding of secure deployment approaches for restricted environments.
- Familiarity with container orchestration and MLOps is desirable.