Member of Technical Staff
Core
Design and build agentic systems using LLMs, retrieval, tool use, and structured outputs; own productionization including deployment, monitoring, and evaluation frameworks.
Role type
Senior IC machine-learning engineer (agentic systems)
Builds
Agentic workflows, production LLM systems, evaluation frameworks
Domain
Generative AI, LLM orchestration, clinical technology
Deliverable
production ML models
Required skills
LLM APIs, prompting strategies, orchestration patterns (LangChain, LlamaIndex), retrieval systems, vector databases, k-nearest-neighbor search, function calling, tool use, agentic workflows, model evaluation, dataset development, A/B testing, Python fundamentals, clean code, test cases
Preferred skills
asynchronous programming, performance profiling, packaging, deployment tooling (via careerplan.io/jobs/22729-member-of-technical-staff-at-abridge)
Technologies
Python, LangChain, LlamaIndex, vector databases
Responsibilities
Design and build agentic systems; collaborate with ML and infrastructure engineers to scale and optimize workflows; write modular, maintainable, failure-resilient code; build benchmark datasets and evaluation frameworks; prototype with new models and tools; own productionization of LLM workflows including deployment and monitoring.
Seniority
Senior, hands-on IC
