Globality
Sr. AI Engineer
$150K–$250K
Palo Alto, CA · Senior · Full-time · Posted Aug 31, 2026
- Experience
- 4+ years building production-grade AI/ML platforms or developer-centric AI tools.
- Education
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
About the job
Build and operate scalable AI platforms, tooling, and infrastructure that help teams develop, deploy, and monitor intelligent applications.
What you'll do
- Design AI platforms and integrate MLOps tools for model versioning, deployment, and lifecycle management.
- Build LLM tools, agentic workflows, orchestration services, and data pipelines; monitor production performance.
- Prototype generative AI applications and define testing, documentation, and secure and ethical AI practices.
What they ask for
- Bachelor’s or Master’s in Computer Science, Engineering, or a related field.
- 4+ years of experience building production-grade AI/ML platforms or developer-centric AI tools.
- Strong Python software engineering skills; familiarity with Java or Go, OOP, and data structures.
- Experience with cloud platforms (AWS, Google Cloud, Azure); familiarity with Docker, Kubernetes, LLM prompting, agentic workflows, and MLOps principles.
Nice to have
- Experience with large-scale data pipelines such as Apache Spark or Kafka.
- Certifications in cloud platforms, ML engineering, or AI tooling; awareness of AI ethics, bias, fairness, and data privacy.
Pay
$150,000 - $250,000 USD annual base salary
Tools
Python, Java, Go, LangGraph, AWS, Google Cloud, Azure, Docker
AI focus
Operationalize AI by building scalable AI/ML platforms, LLM tools and agentic workflows, MLOps capabilities, data pipelines, monitoring, and generative AI prototypes.
Model-written summary · the original posting is authoritative