Sr. Software Engineer, Agents

Globality, Inc.•Palo Alto, CA

5d•$150,000 - $250,000•Hybrid

About The Position

Globality is building an autonomous sourcing platform that manages the process from intake to award. The Senior Software Engineer will build the agentic platform at the core of Glo, owning features end to end across React and TypeScript interfaces, backend services and APIs, and the orchestration layer where agents plan, call tools, and take action. The role works closely with product and design and contributes to architecture and the team’s approach to building with coding agents. Agentic coding tools are the default development workflow. The engineer will use them to plan, implement, test, and review work, applying engineering judgment to deliver reliable production software. The position is based in the Palo Alto office four days per week, with one day available to work wherever the employee is most effective.

Requirements

At least 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, including structuring context and instructions, scoping tasks, verifying results, and deciding when to take over manually.
Experience building LLM-powered or agentic features in production, such as tool calling, retrieval, structured outputs, streaming, or multi-step workflows.
Solid backend fundamentals, including REST or GraphQL API design, relational data modeling, queues and background jobs, and asynchronous and event-driven patterns.
Experience delivering real-time data to browsers over WebSockets or server-sent events, including partial, streaming, and failure states.
Working knowledge of cloud infrastructure, containers, and CI/CD, with the discipline to own production software.
Strong testing and code review habits suitable for software where much of the first draft may come from an agent.
Clear written and verbal communication, including explaining technical tradeoffs to non-engineering stakeholders.

Responsibilities

Design, build, and ship full-stack features for the agentic sourcing platform, from React and TypeScript interfaces to backend services, data models, and APIs.
Build agent orchestration, including planning and tool-calling loops, multi-agent workflows, long-running tasks, retries, and human approval checkpoints.
Create human-agent collaboration interfaces with streaming output, live progress, reasoning and evidence views, confidence indicators, and controls to pause, redirect, or override agents.
Use coding agents as a primary workflow, running tasks in parallel, directing and reviewing their work, and ensuring production standards.
Build the context, conventions, and guardrails that help coding agents work effectively in the 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, while managing prompts, context, cost, and latency.
Build evaluation, tracing, and observability for agent behavior so the team can measure quality, replay runs, and improve results using 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—including agent-generated code—for reliability, security, and maintainability.
Own production services, including deployment, monitoring, and performance tuning for real-time, data-intensive workloads.
Participate in sprint planning, architecture discussions, and technical direction alongside senior engineers.