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# Sr. Software Engineer, Agents

- **Company:** Globality, Inc.
- **Location:** Palo Alto, CA, United States
- **Experience:** Expert
- **Salary:** $150,000 - $250,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Cloud Computing, Code Review, Continuous Integration, Relational Databases, Cursor, Performance Tuning, Scrum Methodology, E2e Testing, Software Engineering, Data Streaming, TypeScript, WebSocket, Data Logging, GitHub Copilot, ReactJS, Large Language Models, Claude Code, Multi-Agent Systems, AI Coding Agents, Backend, Agentic-AI, Graphql, Api Design, Model Context Protocol
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-agents-palo-alto-ca--448f5df0-2d00-42dc-a046-29f5e78f6a13

## About the Role

Software Engineering, Software Agents, Vendor/Supplier Evaluation, Purchasing/Procurement, Negotiation Skills, Materials Analysis, Software Engineering, Application Programming Interface (API), React.js, Product Design, * 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 testing and code review habits that hold up when much of the first draft comes from an agent
 * Clear written and verbal communication, including the ability to explain technical tradeoffs to non-engineering stakeholders

## Description

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