Sr/Staff AI Engineer
About The Position
The IT Automation & AI Engineering team builds modern, AI-first enterprise applications and automation platforms supporting multiple business functions. The Sr/Staff AI Engineer will shape technical direction, architectural patterns, and reusable AI-first capabilities across a portfolio of enterprise applications. The role operates at the intersection of full-stack development, cloud-native services, and applied AI, delivering high-impact systems and translating complex business problems into durable technical solutions. The engineer will architect and deliver production AI-first applications, design agentic and retrieval-based systems, and establish practices for AI evaluation, security, reliability, observability, latency, and cost management. The role also involves driving complex initiatives into production, creating reusable engineering patterns, advancing AI-native engineering practices, 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, or 3+ years with a Master’s degree.
- Staff level: 8+ years of software engineering experience, or 6+ years with a Master’s degree, or 3+ years 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 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 drive complex initiatives through production.
- Build reusable engineering patterns and shared capabilities for multiple applications and development teams.
- Drive AI-native engineering practices using tools such as Cursor and Claude Code, mentor engineers, and raise technical standards.
Benefits
- Compensation may include restricted stock units and a bonus.
- Employee benefits are referenced, but specific benefits are not listed in the description.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
