AI Agent Engineer
On-site · San Jose, California, United States
Job Summary
Develop and optimize multi-step AI agent pipelines using both open-source and closed-source LLMs, ensuring alignment with business objectives. Create and manage data generation and processing pipelines for machine learning model training and evaluation. Oversee deployment infrastructure for AI technologies across platforms like AWS, Azure, or GCP. Candidates should have a strong foundation in AI and machine learning, with significant experience in software engineering or related fields.
Required Qualifications
- Earned a Bachelor’s degree, Master's degree or Ph.D. in Computer Science, Engineering, or a related field
- 5+ years of experience in software engineering, platform engineering, or related roles
- Proven expertise in AI model building and agent development
- Strong background in ML and LLM-driven systems development
- Experience with compound AI systems, vector databases, and tool-calling AIs
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
Desired Qualifications
- Experience building & deploying production-grade, large-scale AI applications
- Familiarity with AI deployment, evaluation, and monitoring practices
- Strong communication skills with the ability to articulate complex technical concepts to non-technical stakeholders
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