Sr/Staff AI Engineer
About The Position
The IT Automation & AI Engineering team builds modern, AI-first enterprise applications and automation platforms that support multiple business functions across the company. We focus on scalable architecture, strong engineering fundamentals, and practical application of AI to drive measurable business impact. In this role, you will help shape technical direction, architectural patterns, and reusable AI-first capabilities that extend across a broader portfolio of enterprise applications. The IT Engineering team builds AI-first enterprise systems that power critical business workflows across the company. You will design and deliver high-impact applications while advancing how modern AI capabilities are applied across enterprise software. Operating at the intersection of full-stack development, cloud-native services, and applied AI, you will shape scalable architectures and translate complex business problems into durable technical solutions.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- Senior: 5+ years of software engineering experience (or 3+ with a Master’s degree).
- Staff: 8+ years of software engineering experience (or 6+ with a Master’s degree, or 3+ with a PhD).
- Strong full-stack and distributed systems engineering experience with demonstrated ownership of complex production systems.
- Production experience designing and building AI-integrated systems using LLMs, RAG, embeddings, tool calling, or agentic workflows.
- Experience with AI orchestration, retrieval, evaluation, guardrails, human-in-the-loop workflows, and production observability.
- Strong understanding of APIs, enterprise data, cloud-native architecture, security, reliability, and production operations.
- Proven ability to translate ambiguous problems into clear technical architectures and influence technical direction.
Nice To Haves
- Proficiency in TypeScript, Node.js/NestJS, React, Python, and SQL.
- Experience with Vertex AI, LangChain/LangGraph, MCP, A2A protocols, or similar AI platforms and frameworks.
- Experience with vector databases, semantic search, context engineering, LLM evaluation, and AI security controls.
- Experience with Docker, Kubernetes, event-driven systems, and modern cloud infrastructure.
- Experience using AI-native development environments such as Cursor, Claude Code, or Windsurf in professional engineering workflows.
- Experience building reusable enterprise platforms or shared technical capabilities adopted across multiple teams.
Responsibilities
- Architect and deliver production AI-first enterprise applications across full-stack systems, cloud-native services, and applied AI.
- Design agentic and retrieval-based systems utilizing LLMs, RAG, embeddings, tool calling, and multi-step workflows.
- Establish robust practices for AI evaluation, guardrails, security, observability, reliability, latency, and cost management.
- Translate ambiguous business problems into scalable technical architectures and drive complex initiatives through production.
- Build reusable engineering patterns and shared capabilities applicable across multiple applications and development teams.
- Drive AI-native engineering practices using tools like Cursor and Claude Code while mentoring engineers and raising technical standards.
Benefits
- The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
