BenchlingUnited StatesFounding engineer owning architecture and delivery of enterprise agentic AI systems. Hands-on builder of LLM orchestration, tool integrations, memory, evaluation, and production-grade infrastructure.
Founding engineer building enterprise-grade agentic AI systems at Benchling, owning architecture, production code, and cross-functional enablement for LLM orchestration and internal tooling.
Research and implement high-performance vector indexing and retrieval algorithms for Milvus and Zilliz Cloud. Requires 3+ years in vector search or HPC, strong C++ or Rust skills, and a research-driven engineering mindset.
Own the end-to-end lifecycle of memory features for AI agents. Fine-tune models, implement research, build evaluations, and ship production systems with Engineering.
As a Senior Machine Learning Engineer, you will develop and deploy state-of-the-art ML solutions for healthcare problems, working with large medical datasets and owning ML services end-to-end. This role requires expertise in LLMs, cloud platforms, and ML frameworks.
Lead a team of software engineers to develop and integrate perception pipelines for various modalities and an autonomy service for government and defense applications. This role focuses on deploying software to hardware and integrating pre-trained ML models.