Lead AI Agent Engineer at eTeam in Sunnyvale, CA
- Company: eTeam
- Location: Sunnyvale, CA
- Posted: Sep 18, 2026
- Type: Contract
- Experience: 8+ years
Overview
Job Title: Lead AI Agent Engineer Location: Sunnyvale, CA 94085 (Hybrid) Python, LLM, AI agent frameworks (Google ADK, LangChain ) Years of experience in each of the must-have skills: 8 Years Job Description - As the Lead Engineer, AI Agents, you will drive the technical vision and execution for a n…
Job description
- Job Title: Lead AI Agent Engineer
- Location: Sunnyvale, CA 94085 (Hybrid)
- Python,
- LLM,
- AI agent frameworks (Google ADK, LangChain )
- Years of experience in each of the must-have skills: 8 Years
- Job Description -
Responsibilities
- 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.
Requirements
- 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.
- 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.
Skills
Required
- Python
- LLM
- Strong programming skills in Python
- Applied experience with a range of LLMs