Globality is the leader in autonomous sourcing. Using sophisticated AI, the platform creates precisely scoped requirements, identifies the most qualified suppliers, provides negotiation insights, and enables data-driven decisions. Backed by SoftBank VF.
About 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 they're looking for
- 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
More about this role
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.
- 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...
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