Senior Software Engineer Agentic AI, Amazon's Talent Solution’s Core Science and Engineering
Core
Build distributed, scalable, and highly available systems to accelerate Machine Learning, LLM, and Econometrics/Statistical/Causal models within a CI/CD fashion for Amazon's talent evaluation and development.
Role type
Senior Software Development Engineer (MLOps/GenAIOps)
Builds
Data Lakes, science experimentation tools, MLOps, GenAIOps, analytics, and web applications integrated with Amazon systems.
Domain
Technology / Machine Learning / MLOps / GenAIOps
Deliverable
production ML models | infrastructure
Required skills
System architecture, Machine Learning lifecycle management, LLM response enhancement (RAG, Prompt Engineering), distributed systems design, Big Data handling, advanced statistical methods
Preferred skills
Full software development life cycle expertise, code reviews, source control management, build processes, testing, operations experience
Technologies
MLOps, GenAIOps, RAG, Prompt Engineering
Responsibilities
Craft, experiment, and launch services embodying diverse scientific models; leverage intricate distributed systems; handle and present Big Data; apply advanced statistical methods.
Seniority
Senior, hands-on IC with mentorship/tech lead experience
