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 & Infrastructure)
Builds
Multi-agent systems, document processing pipelines, search/retrieval systems, and knowledge graphs for field operations.
Domain
Construction industry, AI agents, LLM orchestration, distributed systems.
Deliverable
production ML models | product features | infrastructure
Required skills
Multi-agent system design, LLM-based application development, document processing pipelines (parsing, chunking, indexing), knowledge graph modeling, search and ranking systems, Python/Go, production-grade coding, experimentation frameworks.
Preferred skills
Experience in construction or document-heavy industries, background in NLP or recommendation systems.
Technologies
Kubernetes, Python, Go, LLM frameworks, Knowledge Graph tools.
Responsibilities
Own and evolve core AI platform components (search, retrieval, orchestration); Lead design and build of multi-agent systems; Architect and scale document processing pipelines; Design and iterate on search/retrieval systems; Build and expand knowledge graphs; Drive ambiguous high-impact projects end-to-end; Establish evaluation and experimentation frameworks.
Seniority
Senior, hands-on IC