Senior Artificial Intelligence Engineer, Globality
$150-250k
4 days a week in office (Palo Alto, CA)
Smart sourcing platform
Posted today
Smart sourcing platform
21-100 employees
Posted today
$150-250k
4 days a week in office (Palo Alto, CA)
21-100 employees
Company mission
To promote economic inclusion.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Transforming the way global companies connect with suppliers is AI-powered smart sourcing company Globality. The platform’s effective consolidation capabilities and simplified management system for complex sourcing processes and data enable companies to improve their bottom line by maximizing efficiency.
Globality’s scalable precision sourcing platform has created a space where companies of all sizes can connect the best suppliers across every service category faster, and more affordably, than before. The company’s unique suite of services automates and analyzes every step of the procurement lifecycle.
The company has raised impressive funding that will help accelerate growth, enabling it to empower more companies around the globe to navigate an ever-changing procurement ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Insights
-49% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Oct 2024
$47m
LATE VC
Jan 2021
$138.3m
SERIES E
Total funding: $367.3m
Company benefits
- Premium Health Benefits
- Distributed Team Building
- Learning & Development
- Award Winning Culture
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Joel Hyatt
(CEO, Chairman & Co-Founder)Studied at Yale Law School and Dartmouth, before founding Hyatt Legal Plans in 1990. Lectured in Entrepreneurship at Stanford from 1998 to 2003, and became a member of the board at HP in 2007. Co-founded Current TV in 2004, acting as its CEO until 2013. Is a trustee at RAND Corporation.
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