Apple
Senior AI Agent Engineer
Claris, an Apple company with over 30 years of experience building transformative software, is entering a new era of AI-native development. We are looking for a Senior AI Agent Engineer to own the design and development of scalable backend infrastructure that powers intelligent, autonomous workflows. In this role, you'll architect and implement resilient systems that support multi-agent coordination, context-aware task execution, and seamless integration with internal and third-party services. Your leadership will drive the real-time orchestration of agents that interact with data, APIs, and usersunlocking smarter, faster, and more adaptive applications at scale. Success in this role requires strong programming proficiency, along with deep knowledge of agent architectures, orchestration frameworks, and modern AI toolchains. Responsibilities
You'll play a pivotal role in defining modular agent architectures Integrating state-of-the-art foundation models (LLMs and beyond) Embedding advanced AI capabilities deep within the Claris platform As a senior engineer, you'll also champion ethical AI practicesadvocating for fairness, transparency, and user trust throughout the system design lifecycle. Minimum Qualifications
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 Strong programming skills in Python, TypeScript, or Go Solid understanding of AI infrastructure, architectures, and tooling Preferred Qualifications
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; bonus for experience with LangMem or LangGraph Awareness of ethical AI principles, particularly around user privacy, data security, and responsible model integration Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Claris, an Apple company with over 30 years of experience building transformative software, is entering a new era of AI-native development. We are looking for a Senior AI Agent Engineer to own the design and development of scalable backend infrastructure that powers intelligent, autonomous workflows. In this role, you'll architect and implement resilient systems that support multi-agent coordination, context-aware task execution, and seamless integration with internal and third-party services. Your leadership will drive the real-time orchestration of agents that interact with data, APIs, and usersunlocking smarter, faster, and more adaptive applications at scale. Success in this role requires strong programming proficiency, along with deep knowledge of agent architectures, orchestration frameworks, and modern AI toolchains. Responsibilities
You'll play a pivotal role in defining modular agent architectures Integrating state-of-the-art foundation models (LLMs and beyond) Embedding advanced AI capabilities deep within the Claris platform As a senior engineer, you'll also champion ethical AI practicesadvocating for fairness, transparency, and user trust throughout the system design lifecycle. Minimum Qualifications
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 Strong programming skills in Python, TypeScript, or Go Solid understanding of AI infrastructure, architectures, and tooling Preferred Qualifications
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; bonus for experience with LangMem or LangGraph Awareness of ethical AI principles, particularly around user privacy, data security, and responsible model integration Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.