Software Engineer - AI Platform Team

About the role

The Role As a Staff Software Engineer on our Satori AI Platform team, you will drive the architecture of the internal platform that every Proofpoint product team uses to build agentic applications — spanning AI-assisted development, evaluation-based release gates, OpenTelemetry observability for agents in production, and cross-product AuthX for AI workloads. Your direct users are fellow product engineers, and the products they ship protect business-critical communications for Fortune 100 customers 24/7/365. The patterns and primitives you set will define how mission-critical agentic software ships across the company.

Responsibilities

• Set architectural direction for one or more platform pillars AI-assisted developer workflows, eval-driven release gates, OpenTelemetry for LLM/agent traffic, cross-product AuthX, etc.
• Design agent runtimes and SDKs on frameworks like LangGraph, OpenAI Agents SDK, Anthropic's Agent SDK, and MCP, in Python (typed) and TypeScript/Node.
• Define what "release-ready" means for an agent at Proofpoint the eval suites, safety checks, telemetry, and AuthX contracts that gate every rollout.
• Partner with product team tech leads across the org to land your architecture in their stacks; turn one-off integrations into reusable platform capabilities.
• Drive the standards for prompt management, model selection, cost/latency budgets, and observability across products.
• Design, code, review, test, and deploy software features in our application stack — Staff engineers at Proofpoint still write code.
• Mentor engineers across the platform and product teams; raise the company-wide bar for what production agentic software looks like.

Requirements

• Experience developing and supporting AI-powered applications, with exposure to agentic or LLM-based systems in development, testing, or production environments.
• Proficiency in Python and/or TypeScript/Node.js, with the ability to write maintainable, scalable, and well-tested code.
• Familiarity with agent frameworks such as LangGraph, LangChain, OpenAI/Anthropic Agents SDK, MCP, or similar technologies.
• Exposure to evaluation, monitoring, and observability concepts for AI applications, including experience with tools such as LangSmith, Braintrust, promptfoo, OpenTelemetry, or similar solutions.
• Experience troubleshooting application and service issues using logs, metrics, traces, and other diagnostic tools.
• Able to collaborate effectively with engineering, product, and platform teams to deliver solutions and resolve technical challenges.
• Experience designing, developing, and supporting applications in cloud-based and/or microservices environments.
• Strong written and verbal communication skills with the ability to clearly share ideas, provide updates, and participate in technical discussions.
• Demonstrated curiosity, attention to detail, and a willingness to learn new technologies and apply feedback.
• A proactive, team-oriented mindset with a willingness to take ownership of assigned work and contribute to team success.

Qualifications

• B.S. or M.S. in Computer Science or a related field, or equivalent practical experience.

Skills

• Experience with AI and machine learning.
• Experience with cloud platforms and microservices.
• Experience with open-source agent frameworks.
• Experience with observability and monitoring tools.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration skills.

Benefits

• Competitive compensation
• Comprehensive benefits
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

Pay

• Base Pay Range 101,600.00 - 159,720.00 USD

Schedule

• Full-time