Sr. Software Engineer, Agents
Quick Summary
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,
Responsibilities
~2 min read- →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
- 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
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.
Location & Eligibility
About this job
- Pay per year
- $150,000–$250,000 a year
- 7% above the $187,180 median for Software Engineer jobs on Jobera (7,226 salaries).
- Who can apply
- United States
- Posted
- 2 days ago
Listing Details
- Posted
- November 9, 2026
- First seen
- November 9, 2026
- Last seen
- November 12, 2026
Posting Health
- Days active
- 2
- Repost count
- 0
- Trust Level
- 71%
- Scored at
- November 12, 2026
Signal breakdown
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