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 are looking for a Senior Software Engineer to build the agentic platform at the core of Glo. You will own features end to end across the stack: the React and TypeScript interfaces where procurement teams direct and review agents, the services and APIs behind them, and the orchestration layer where agents plan, call tools, and take action.
You will build with agentic coding as your default way of working. Coding agents help you plan, implement, test, and review, and you apply the judgment that turns their output into reliable production software. You will work closely with product and design, and you will have real influence over architecture and over how our team builds with agents.
What You Will Do
Design, build, and ship full stack features for an agentic sourcing platform, from React and TypeScript interfaces to backend services, data models, and APIs
Build agent orchestration: planning and tool-calling loops, multi-agent workflows, long-running tasks, retries, and human approval checkpoints
Create interfaces for human-agent collaboration, including streaming output, live progress, reasoning and evidence views, confidence indicators, and controls to pause, redirect, or override an agent
Develop with coding agents (such as Claude Code, Cursor, or GitHub Copilot) as your primary workflow, running tasks in parallel, directing and reviewing their work, and holding the result to production standards
Build the context, conventions, and guardrails that make coding agents effective in our codebase, including project instructions, reusable skills, test harnesses, and review checklists
Integrate LLMs and external tools through APIs and protocols such as the Model Context Protocol, and manage prompts, context, cost, and latency as part of the application design
Build evaluation, tracing, and observability for agent behavior, so the team can measure quality, replay runs, and improve results with evidence
Design for security, privacy, and auditability in line with SOC 2 Type 2, ISO 27001:2022, GDPR, and CCPA requirements, including permissions, data boundaries, and logging for autonomous actions
Write unit, integration, and end-to-end tests, and review code for reliability, security, and maintainability, including code written by agents
Own services in production, including deployment, monitoring, and performance tuning for real-time, data-intensive workloads
Take part in sprint planning, architecture discussions, and technical direction alongside senior engineers
What You Bring
5+ years of professional software engineering experience across the stack
Hands-on experience shipping production software with agentic coding tools, including delegating multi-step tasks, running agents in parallel, and reviewing and correcting their output
A clear point of view on working with coding agents: how you structure context and instructions, scope tasks, verify results, and decide when to take the keyboard yourself
Experience building LLM-powered or agentic features in production, such as tool calling, retrieval, structured outputs, streaming, or multi-step workflows
Solid backend fundamentals: API design (REST or GraphQL), relational data modeling, queues and background jobs, and asynchronous and event-driven patterns
Experience with real-time delivery of data to the browser over WebSockets or server-sent events, including partial, streaming, and failure states
Working knowledge of cloud infrastructure, containers, and CI/CD, and the discipline to own what you ship in production
Strong…