Senior AI Agent Engineer
Apple
Senior AI Agent Engineer
Job Description
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 users—unlocking 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.
Locations
- San Diego, California, United States 92128
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- programming proficiencyintermediate
- knowledge of agent architecturesintermediate
- knowledge of orchestration frameworksintermediate
- knowledge of modern AI toolchainsintermediate
- design and development of scalable backend infrastructureintermediate
- architect and implement resilient systemsintermediate
- multi-agent coordinationintermediate
- context-aware task executionintermediate
- seamless integration with internal and third-party servicesintermediate
- real-time orchestration of agentsintermediate
Required Qualifications
- 5+ years of professional software engineering experience (experience, 5 years)
- 2-3 years experience with a focus on AI systems or intelligent agents (experience, 3 years)
- Bachelor’s degree in Computer Science or equivalent practical experience (experience)
- Strong programming skills in Python, TypeScript, or Go (experience)
- Solid understanding of AI infrastructure, architectures, and tooling (experience)
Preferred Qualifications
- Hands-on experience building agents using Model Context Protocol (MCP) or similar agent frameworks (experience)
- Proficiency with cloud platforms such as AWS or Google Cloud, and container orchestration using Kubernetes (experience)
- Experience designing and implementing workflow orchestration and execution systems (experience)
- Familiarity with document and graph data storage technologies like MongoDB or KuzuDB (experience)
- Understanding of AI memory systems, including contextual embeddings and long-term memory management; bonus for experience with LangMem or LangGraph (experience)
- Awareness of ethical AI principles, particularly around user privacy, data security, and responsible model integration (experience)
Responsibilities
- Your leadership will drive the real-time orchestration of agents that interact with data, APIs, and users—unlocking 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.
- 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 practices—advocating for fairness, transparency, and user trust throughout the system design lifecycle.
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Senior AI Agent Engineer
Apple
Senior AI Agent Engineer
Job Description
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 users—unlocking 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.
Locations
- San Diego, California, United States 92128
- Sunnyvale, California, United States 94085
Salary
Estimated Salary Rangemedium confidence
40,000,000 - 80,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- programming proficiencyintermediate
- knowledge of agent architecturesintermediate
- knowledge of orchestration frameworksintermediate
- knowledge of modern AI toolchainsintermediate
- design and development of scalable backend infrastructureintermediate
- architect and implement resilient systemsintermediate
- multi-agent coordinationintermediate
- context-aware task executionintermediate
- seamless integration with internal and third-party servicesintermediate
- real-time orchestration of agentsintermediate
Required Qualifications
- 5+ years of professional software engineering experience (experience, 5 years)
- 2-3 years experience with a focus on AI systems or intelligent agents (experience, 3 years)
- Bachelor’s degree in Computer Science or equivalent practical experience (experience)
- Strong programming skills in Python, TypeScript, or Go (experience)
- Solid understanding of AI infrastructure, architectures, and tooling (experience)
Preferred Qualifications
- Hands-on experience building agents using Model Context Protocol (MCP) or similar agent frameworks (experience)
- Proficiency with cloud platforms such as AWS or Google Cloud, and container orchestration using Kubernetes (experience)
- Experience designing and implementing workflow orchestration and execution systems (experience)
- Familiarity with document and graph data storage technologies like MongoDB or KuzuDB (experience)
- Understanding of AI memory systems, including contextual embeddings and long-term memory management; bonus for experience with LangMem or LangGraph (experience)
- Awareness of ethical AI principles, particularly around user privacy, data security, and responsible model integration (experience)
Responsibilities
- Your leadership will drive the real-time orchestration of agents that interact with data, APIs, and users—unlocking 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.
- 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 practices—advocating for fairness, transparency, and user trust throughout the system design lifecycle.
Tags & Categories
Answer 10 quick questions to check your fit for Senior AI Agent Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs