Senior Software Engineer, Enterprise AI Platform

Role overview

Responsibilities

• Build platform services, APIs, SDKs, frameworks, and developer portals.
• Implement cloud-native services and enterprise AI capabilities, including LLM integrations, RAG, agent orchestration, vector search, and knowledge retrieval.
• Develop security, observability, governance, telemetry, and operational excellence capabilities.
• Partner with application teams and advance CI/CD, automation, testing, and platform reliability.

Required qualifications

• 7+ years building enterprise-scale software platforms and applications.
• Strong expertise in TypeScript, React, Next.js, Node.js, Python, and API development.
• Cloud-native experience with AWS, GCP, or Azure; microservices, distributed systems, containerization, and CI/CD.
• Understanding of PostgreSQL, NoSQL, caching, and event-driven architectures.
• Experience delivering secure, scalable, highly available production systems.

Preferred qualifications

• Experience with AI platforms, copilots, agents, or AI-powered enterprise applications.
• Experience with LLMs, RAG, vector databases, MCP integrations, and AI orchestration frameworks.
• Experience building SDKs, internal developer platforms, shared services, and reusable engineering frameworks.
• Familiarity with Responsible AI, AI governance, observability, and security practices.

Travel and shift

• Required travel is 10% of the time.
• Shift is first shift/days.

Compensation

• Expected new-hire wage range is $165,600 to $227,700 per year.
• Position is eligible for a discretionary performance-based bonus.