Claris, an Apple company, is entering a new era of AI-native development and is looking for a Senior AI Agent Engineer to own the design and development of scalable backend infrastructure that powers intelligent, autonomous workflows.
Requirements
- Strong programming skills in Python, TypeScript, or Go
- Solid understanding of AI infrastructure, architectures, and tooling
- Hands-on experience building agents using Model Context Protocol (MCP) or similar agent frameworks
- Proficiency with cloud platforms such as AWS or Google Cloud, and container orchestration using Kubernetes
- Experience designing and implementing workflow orchestration and execution systems
- Familiarity with document and graph data storage technologies like MongoDB or KuzuDB
- Understanding of AI memory systems, including contextual embeddings and long-term memory management
Responsibilities
- own the design and development of scalable backend infrastructure that powers intelligent, autonomous workflows
- architect and implement resilient systems that support multi-agent coordination, context-aware task execution, and seamless integration with internal and third-party services
- drive the real-time orchestration of agents that interact with data, APIs, and users
- defining modular agent architectures
- integrating state-of-the-art foundation models (LLMs and beyond)
- embedding advanced AI capabilities deep within the Claris platform
- champion ethical AI practices-advocating for fairness, transparency, and user trust throughout the system design lifecycle
Other
- 5+ years of professional software engineering experience
- 2-3 years experience with a focus on AI systems or intelligent agents
- Bachelor’s degree in Computer Science or equivalent practical experience
- Awareness of ethical AI principles, particularly around user privacy, data security, and responsible model integration
- bonus for experience with LangMem or LangGraph
