AI Agents Engineer

Tech3pillars Technologies; Virginia (MN); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple is seeking a Lead Engineer, AI Agents in Sunnyvale, CA to drive the technical vision for a new class of intelligent agent-based systems. You will lead the end-to-end lifecycle from concept to deployment, guiding a team to build scalable agents that can reason, learn, and act across diverse data landscapes.

You will work closely with data science, engineering, operations and research to translate high-impact opportunities into robust, production-grade solutions, focusing on performance,

Qualifications

• 8+ years of software development or ML experience
• 4+ years in a technical leadership role
• Strong Python programming skills and experience with LLMs
• Hands-on experience deploying AI agents in production
• Experience with AI agent frameworks and scalable production systems

Responsibilities

• Lead the technical vision and execution for AI agents at Apple.
• Oversee end-to-end lifecycle from concept to deployment and operation.
• Guide a team to build, scale, and improve agent-based systems across data landscapes.
• Integrate AI agents with Apple data and platform ecosystems.
• Address latency, reliability, privacy, and cost in production deployments.

Skills

Python

LLMs

AI Agents

Technical Leadership

LangChain

Education

MS/PhD in CS or related field

Tools

Google ADK

LangChain

Job description

Posation: AI Agents Engineer

Location: Sunnyvale, CA

Job Description

• As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a new class of intelligent agent-based systems at Apple.
• Lead the end-to-end lifecycle of AI agents, from conceptualization to deployment and operational excellence.
• Guide a team of engineers to build and scale sophisticated AI agents that can reason, learn, and act across diverse data landscapes.
• Lead the integration of AI agents with I the Apple data and platforms ecosystem.
• Tackle complex AI challenges, such as ensuring agent reliability at scale, developing novel evaluation frameworks, and pioneering privacy-preserving agentic architectures.
• Partner closely with teams in data science, engineering, operations, and research to translate high-impact opportunities into robust, production-grade solutions.

Minimum Qualification

• 8+ years of software development or machine learning experience.
• M.S. or PhD in computer science, machine learning, or a related field or equivalent practical experience.
• 4+ years of experience in a technical leadership role.
• Strong programming skills in Python and applied experience with a range of LLMs.
• Expert in applying and extending AI agent frameworks (Google ADK, LangChain, etc.).
• Hands-on experience developing, deploying, and operating AI agents in production.
• Experience deploying AI systems in large-scale, hybrid environments with a focus on performance and reliability.

Preferred Qualification

• A portfolio of deployed agentic systems that have delivered significant, measurable impact.
• Experience in evaluation frameworks for AI agents.
• Proven expertise in optimizing AI agents for latency, scalability, and cost.
• A track record of thought leadership or contributions to the field of agentic AI.