Sr. II ML Engineer
Core
Design and build production-ready AI agents and multi-agent orchestration systems for intelligent document processing and Q&A in the construction industry.
Role type
Senior Machine Learning Engineer (Agentic Systems & RAG)
Builds
Multi-agent systems, document processing pipelines, search/retrieval systems, and knowledge graphs.
Domain
Construction industry, AI/ML, Agentic Systems, RAG
Deliverable
production ML models
Required skills
Multi-agent system design, LLM orchestration, document processing pipelines, knowledge graph modeling, search and retrieval systems, Python, Go, Kubernetes, distributed systems, experimentation frameworks
Preferred skills
Construction domain experience, NLP, recommendation systems, large-scale data infrastructure
Technologies
Kubernetes, Python, Go, LLMs, Knowledge Graphs
Responsibilities
Own and evolve core parts of the AI platform spanning search, retrieval, and multi-agent orchestration; Lead the design and build-out of a multi-agent system; Architect and scale document processing pipelines; Design and iterate on search and retrieval systems; Help build and expand the knowledge graph; Drive ambiguous, high-impact projects end-to-end; Establish and improve evaluation and experimentation frameworks.
Seniority
Senior, hands-on IC