AI Systems Engineer: Production-Grade Agentic Workflows

Sierracorp; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Job summary

Sierracorp is seeking a talented developer to work on AI applications in San Francisco, California. The role involves transitioning prototypes to production-grade workflows, architecting crucial connections between AI products and customer infrastructures, and optimizing system performance.

Qualified candidates will possess a Master's degree or PhD in relevant fields, along with experience in Python and machine learning. Proficiency with multi-agent systems and cloud solutions is essential for success in this dynamic environment.

Qualifications

• Master's degree or PhD in AI, Computer Science, or related field required.
• Experience in Python programming and machine learning frameworks such as Keras and PyTorch.
• Proven experience in applied AI focusing on building systems around pretrained models.

Responsibilities

• Serve as a developer for AI applications with a focus on production-grade workflows.
• Architect and code APIs connecting AI products to live infrastructure.
• Build evaluation pipelines ensuring system accuracy and safety.

Skills

Python

Machine Learning Packages

Multi-Agent Systems

Prompt Engineering

Cloud Solutions

Education

Master's degree or PhD in AI, Computer Science, or related field

Job description

Sierracorp is seeking a talented developer to work on AI applications in San Francisco, California. The role involves transitioning prototypes to production-grade workflows, architecting crucial connections between AI products and customer infrastructures, and optimizing system performance.

Qualified candidates will possess a Master's degree or PhD in relevant fields, along with experience in Python and machine learning. Proficiency with multi-agent systems and cloud solutions is essential for success in this dynamic environment.