Sr. AI Engineer

Globality • Palo Alto, CA

5d • Hybrid

About The Position

Globality is the autonomous sourcing platform to manage the entire intake to award process. At Globality, we build agentic technology that transforms how global enterprises source goods and services — autonomously, at scale, and without the inefficiencies that have defined procurement for decades. Our platform interprets purchase intent, generates sourcing materials, evaluates suppliers, and executes negotiation strategies without manual intervention.

Requirements

• Bachelor’s or Master’s in Computer Science, Engineering, or related field
• 4+ years of experience building production-grade AI/ML platforms or developer-centric AI tools
• Strong software engineering skills in Python (preferred) and familiarity with Java/Go and OOP/data structures
• Familiarity with LLM prompting design, agentic workflows (e.g. LangGraph)
• Experience building and deploying on cloud platforms (AWS, Google Cloud, Azure); familiar with Docker and Kubernetes
• Solid understanding of MLOps principles: CI/CD, model versioning, monitoring, metrics
• Exceptional communication and collaboration across engineering and product teams

Nice To Haves

• Experience with large-scale data pipelines (e.g., Apache Spark, Kafka)
• Certifications in cloud platforms, ML engineering, or specific AI tooling
• Awareness of AI ethics, biases, fairness, and data privacy protocols

Responsibilities

• Design and implement scalable AI platforms using Python.
• Integrate MLOps tools for model versioning, deployment, monitoring, and lifecycle management.
• Build tools and abstractions to interface with large language models, including prompting frameworks, agentic workflows (e.g., with LangGraph), and LLM orchestration services.
• Collaborate with data teams to build robust ETL pipelines, preprocess training data, and construct feature workflows that feed AI models at scale.
• Implement model monitoring dashboards to ensure platform reliability and performance, and investigate production prompt results.
• Stay ahead of cutting-edge trends in Generative AI.
• Prototype AI scenarios that unlock new product or operational value.
• Define rigorous unit, integration, and performance testing methodologies.
• Maintain comprehensive documentation and enforce best practices for ethical and secure AI usage.

Benefits

• We work together — literally. We're in-office 4 days a week in Palo Alto because the best ideas – and the fastest decisions – happen face to face. One day is yours to work wherever you’re most effective.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior