Sr. AI Engineer

Globality; Palo Alto, Northern (CA, KY); Hybrid; USD 150,000 - 250,000; Full time

Job summary

Globality is seeking a Sr. AI Software Engineer to advance scalable AI platforms and developer tools. You will design infrastructure to enable teams to build, deploy, and iterate intelligent applications with speed and reliability, focusing on production-grade systems.

You will work on platform architecture, AI tooling, data pipelines, monitoring, and governance, collaborating across product and engineering. The role is based in Palo Alto with in-office days and competitive compensation.

Qualifications

• 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 Python skills and familiarity with Java/Go and OOP/data structures.
• Familiarity with LLM prompting design and agentic workflows.
• Experience deploying on cloud platforms (AWS, GCP, Azure); Docker and Kubernetes knowledge.
• Solid understanding of MLOps: CI/CD, model versioning, monitoring.

Responsibilities

• Platform Architecture & Development: design scalable AI platforms using Python and MLops.
• AI Tooling & LLM Capabilities: build tools and abstractions to interface with large language models, incl. prompting frameworks and LangGraph workflows.
• Data Engineering & ETL: build robust ETL pipelines and feature workflows feeding AI models at scale.
• Reliability & Monitoring: implement model monitoring dashboards and ensure platform reliability.
• Research & Innovation: prototype AI scenarios to unlock new product or operational value.
• Testing, Documentation & Standards: define testing methodologies and maintain comprehensive docs for ethical and secure AI usage.

Skills

Python

LLM prompting design

LangGraph

OOP & data structures

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

Docker

Kubernetes

AWS

GCP

Azure

LangGraph

Job description

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.

The Role

We’re seeking a Sr. AI Software Engineer with deep expertise in building scalable AI platforms and developer tools. This role is ideal for someone passionate about enabling AI innovation through robust infrastructure, intuitive tooling, and seamless integration of cutting-edge models. You’ll be at the forefront of operationalizing AI—designing systems that empower teams to build, deploy, and iterate on intelligent applications with speed and reliability.

What You Will Do

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

What You Bring

• 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 Have

• 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

Why Globality

The opportunity is enormous. Enterprise procurement is one of the last major business functions to be transformed by AI. We're not optimizing at the margins — we're fundamentally rethinking how trillions of dollars get spent.

The team is world-class. Our leadership team brings decades of experience from leading global enterprises, and our culture is built for people who want real ownership, not titles.

You’ll have real impact. This isn't a role where you execute someone else's playbook. You'll shape the strategy, build the programs, and see the direct business impact of your work.

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.

The anticipated annual base salary range for this position is $150,000 - $250,000. Actual compensation may vary based on factors such as experience, skills, and location. This information is provided in accordance with the California Equal Pay Act. We are an equal opportunity employer and participate in the E-Verify program. We are committed to building a diverse and inclusive workplace and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity, religion, national origin, age, disability, or any other protected status.