Gen AI Software Engineer
Apple
Gen AI Software Engineer
Job Description
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help build AI-driven solutions that solve pressing business challenges. You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains. In this highly visible role, your primary responsibilities will include: - Designing and implementing generative AI systems including multi-agent workflows, tool calling architectures, LLM orchestration patterns, and reusable AI components - Building agentic AI solutions that coordinate multiple AI services and tools to solve complex domain-specific problems - Collaborating with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and architect appropriate AI solutions - Enabling the organization to leverage AI capabilities and drive efficiency in chip delivery
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Designing generative AI systemsintermediate
- Implementing multi-agent workflowsintermediate
- Tool calling architecturesintermediate
- LLM orchestration patternsintermediate
- Reusable AI componentsintermediate
- Building agentic AI solutionsintermediate
- Coordinating multiple AI servicesintermediate
- Collaborating with multi-functional teamsintermediate
- Understanding domain-specific needsintermediate
- Architecting AI solutionsintermediate
- Leveraging AI capabilitiesintermediate
Required Qualifications
- Python programming experience (experience)
- Experience building generative AI applications using LLMs and vector databases (experience)
- Knowledge of current Gen AI research and techniques in one or more of the following areas: RAG systems, Agentic AI (multi-agent orchestration, tool calling), or Prompt Engineering (experience)
- Minimum requirement of BS and 3 years of relevant industry experience (experience, 3 years)
Preferred Qualifications
- Hands-on experience with agentic AI frameworks (e.g. LangGraph, AutoGen, CrewAI) for building multi-step reasoning and tool-using agents (experience)
- Familiarity with integrating Model Context Protocol (MCP) into AI workflows (experience)
- Experience building evaluation frameworks for AI systems (retrieval quality, agent performance, LLM outputs) (experience)
- Experience in designing and implementing information retrieval systems using embeddings, vector stores (e.g. Milvus, Qdrant), or similarity match & ranking techniques (experience)
- Designed and optimized RESTful services (experience)
- Comfortable working within Linux/Unix environments (experience)
Responsibilities
- In this highly visible role, your primary responsibilities will include:
- - Designing and implementing generative AI systems including multi-agent workflows, tool calling architectures, LLM orchestration patterns, and reusable AI components
- - Building agentic AI solutions that coordinate multiple AI services and tools to solve complex domain-specific problems
- - Collaborating with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and architect appropriate AI solutions
- - Enabling the organization to leverage AI capabilities and drive efficiency in chip delivery
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Answer 10 quick questions to check your fit for Gen AI Software Engineer @ Apple.
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Gen AI Software Engineer
Apple
Gen AI Software Engineer
Job Description
Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help build AI-driven solutions that solve pressing business challenges. You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains. In this highly visible role, your primary responsibilities will include: - Designing and implementing generative AI systems including multi-agent workflows, tool calling architectures, LLM orchestration patterns, and reusable AI components - Building agentic AI solutions that coordinate multiple AI services and tools to solve complex domain-specific problems - Collaborating with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and architect appropriate AI solutions - Enabling the organization to leverage AI capabilities and drive efficiency in chip delivery
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
30,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Designing generative AI systemsintermediate
- Implementing multi-agent workflowsintermediate
- Tool calling architecturesintermediate
- LLM orchestration patternsintermediate
- Reusable AI componentsintermediate
- Building agentic AI solutionsintermediate
- Coordinating multiple AI servicesintermediate
- Collaborating with multi-functional teamsintermediate
- Understanding domain-specific needsintermediate
- Architecting AI solutionsintermediate
- Leveraging AI capabilitiesintermediate
Required Qualifications
- Python programming experience (experience)
- Experience building generative AI applications using LLMs and vector databases (experience)
- Knowledge of current Gen AI research and techniques in one or more of the following areas: RAG systems, Agentic AI (multi-agent orchestration, tool calling), or Prompt Engineering (experience)
- Minimum requirement of BS and 3 years of relevant industry experience (experience, 3 years)
Preferred Qualifications
- Hands-on experience with agentic AI frameworks (e.g. LangGraph, AutoGen, CrewAI) for building multi-step reasoning and tool-using agents (experience)
- Familiarity with integrating Model Context Protocol (MCP) into AI workflows (experience)
- Experience building evaluation frameworks for AI systems (retrieval quality, agent performance, LLM outputs) (experience)
- Experience in designing and implementing information retrieval systems using embeddings, vector stores (e.g. Milvus, Qdrant), or similarity match & ranking techniques (experience)
- Designed and optimized RESTful services (experience)
- Comfortable working within Linux/Unix environments (experience)
Responsibilities
- In this highly visible role, your primary responsibilities will include:
- - Designing and implementing generative AI systems including multi-agent workflows, tool calling architectures, LLM orchestration patterns, and reusable AI components
- - Building agentic AI solutions that coordinate multiple AI services and tools to solve complex domain-specific problems
- - Collaborating with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and architect appropriate AI solutions
- - Enabling the organization to leverage AI capabilities and drive efficiency in chip delivery
Tags & Categories
Answer 10 quick questions to check your fit for Gen AI Software Engineer @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs