AI Engineer
Core
Design, implement, and deploy end-to-end agentic retrieval and reasoning systems (RAG, hybrid search, knowledge graphs) for enterprise customers.
Role type
Senior IC AI Engineer (Agentic Systems & Retrieval)
Builds
Production agentic RAG pipelines, hybrid retrieval layers, and AI-assisted annotation tools
Domain
Enterprise AI, Retrieval Augmented Generation, Knowledge Graphs
Deliverable
production ML models
Required skills
Agentic RAG, hybrid retrieval with reranking, knowledge-graph approaches, cloud environments (Azure/AWS/GCP), scalable AI pipelines, CI/CD, production monitoring
Preferred skills
Automated machine learning workflows, production system ownership, business judgment, founder mindset
Technologies
ReAct loops, dense/sparse search, knowledge graphs
Responsibilities
Design and tune retrieval layers, develop AI-assisted annotation pipelines, own production deployment and evaluation, set technical direction and engineering standards
Seniority
Open level (Junior to Senior), scoped to candidate
