Sr/Staff AI Engineer (AI)

Location: Santa Clara, California, United States; most teams work from the office full time.

Salary: $144,200–$233,200 annual base salary, with potential bonus and restricted stock units.

Company

A cybersecurity company developing AI-first enterprise applications and automation platforms for critical business workflows.

What you will do

• Architect and deliver production AI-first enterprise applications across full-stack systems, cloud-native services, and applied AI.
• Design agentic and retrieval-based systems using LLMs, RAG, embeddings, tool calling, and multi-step workflows.
• Establish practices for AI evaluation, guardrails, security, observability, reliability, latency, and cost management.
• Translate ambiguous business problems into scalable technical architectures and lead complex initiatives through production.
• Build reusable engineering patterns and shared AI capabilities for multiple applications and development teams.
• Use AI-native development tools such as Cursor and Claude Code while mentoring engineers and raising technical standards.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Senior level: 5+ years of software engineering experience; Staff level: 8+ years, with reduced requirements for advanced degrees.
• Strong full-stack and distributed systems engineering experience with ownership of complex production systems.
• Production experience building AI-integrated systems with LLMs, RAG, embeddings, tool calling, or agentic workflows.
• Experience with AI orchestration, retrieval, evaluation, guardrails, human-in-the-loop workflows, and production observability.
• Applicants must have current United States work authorization; new visa sponsorship and applicants in OPT/CPT status requiring future sponsorship are not currently considered.

Nice to have

• TypeScript, Node.js/NestJS, React, Python, and SQL.
• Vertex AI, LangChain/LangGraph, MCP, A2A protocols, vector databases, semantic search, or context engineering.
• Docker, Kubernetes, event-driven systems, and modern cloud infrastructure.
• Experience with Cursor, Claude Code, or Windsurf in professional engineering workflows.

Culture & Benefits

• In-person collaboration focused on real-time problem-solving and strong engineering relationships.
• Work on cybersecurity products and AI capabilities with measurable enterprise impact.
• Benefits package, potential bonus, and restricted stock units.
• Commitment to inclusion, equal opportunity, and reasonable workplace accommodations.