

Senior Generative AI Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Generative AI Engineer in Sunnyvale, CA, with a contract length of unspecified duration. Pay rate is also unspecified. Requires 10+ years in software development, 4+ years in technical leadership, and expertise in Python and AI agent frameworks.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 19, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Sunnyvale, CA
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π§ - Skills detailed
#ML (Machine Learning) #Leadership #AI (Artificial Intelligence) #Programming #Python #Data Science #Langchain #Deployment #Scala
Role description
Job Title: AI/ML Engineer
Location: Sunnyvale, CA(Day 1 Onsite)
Experience: 10+ Years
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 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 Qualifications
10+ years of software development or machine learning 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.
Job Title: AI/ML Engineer
Location: Sunnyvale, CA(Day 1 Onsite)
Experience: 10+ Years
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 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 Qualifications
10+ years of software development or machine learning 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.