AI Engineer (Up To Principal) - Global Nyse Tech Firm

About the Opportunity NYSE-listed global technology group with a diversified portfolio of digital consumer platforms. This role sits within one of the group's core enterprise product lines. The team is developing next-generation autonomous capabilities for a widely-used enterprise software product. Hiring across levels: Engineer, Senior Engineer, Principal Engineer. Scope of ownership scales with level. Responsibilities Build and refine intelligent agent functionality: orchestration logic, function/tool invocation, retrieval-augmented generation, multi-step automated workflows. Convert product requirements into technical designs, prototypes, and production features. Build and embed LLM-driven capabilities into the core platform: copilot functions, intelligent search, summarization, autonomous workflows. Build evaluation frameworks and monitoring systems to track agent precision, latency, and reliability in production. Coordinate with backend and infrastructure teams on scalability and security for enterprise use. Scope by level: Engineer: executes defined technical specs, ships individual features, runs experiments under senior guidance. Senior Engineer: owns features end-to-end, makes independent architecture decisions, mentors Engineers, shapes technical requirements with PM. Principal Engineer: sets technical direction across workstreams, owns cross-system architecture decisions, drives evaluation methodology, shapes product strategy. Requirements Bachelor's degree or higher in Computer Science, AI, Software Engineering, or related field. Strong coding fundamentals in Python and/or Java/Go. Working knowledge of ML/deep learning fundamentals and LLM concepts: prompting, embeddings, RAG, agentic systems, tool/function calling. Comfortable picking up new frameworks independently: LangChain, LlamaIndex, vector databases. Strong communication skills, able to work directly with Product and Design. Experience by level: Engineer: 0-3 years relevant experience. Internship or academic LLM/AI project work counts. Senior Engineer: 3-6 years relevant experience, including production LLM/ML systems work. Principal Engineer: 7+ years relevant experience, track record shipping ML/LLM-powered products at scale.