Position Details
About this role
This role involves designing and deploying autonomous AI workflows and multi-agent systems, focusing on scalable, real-time data processing and cloud-native infrastructure.
Key Responsibilities
- Architect multi-agent workflows and autonomous AI systems
- Implement agent communication protocols
- Build real-time data pipelines for AI workflows
- Deploy and optimize models in cloud environments
- Ensure observability and safety in AI operations
Technical Overview
Environment includes Python, Docker, Kubernetes, LangGraph, CrewAI, AutoGen, Langfuse, Databricks, AWS, with a focus on AI orchestration, data pipelines, and operational observability.
Ideal Candidate
The ideal candidate is a senior AI engineer with extensive experience in architecting autonomous AI systems, proficient in Python, containerization, and orchestration frameworks, with strong leadership and collaboration skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with autonomous AI systems, No proficiency in Python, No experience with Kubernetes or Docker, Lack of cloud deployment experience
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