Applied AI Research Engineer
Core
Building an AI-native platform that centralizes customer feedback from surveys, reviews, and support tickets into actionable insights for product teams.
Role type
Applied AI Research Engineer (LLM systems)
Builds
Reliable, production-grade LLM-driven features and systems for customer feedback analysis
Domain
Customer feedback analytics / Generative AI
Deliverable
production ML models | product features
Required skills
LLM fine-tuning and wrapping, system design for retrieval pipelines and agents, Python engineering, evaluation rubric design, production debugging, data contract management
Preferred skills
Experience shipping AI systems post-launch, practical bias toward reliability over novelty, cross-functional collaboration
Technologies
Python, LLMs, retrieval pipelines, agents
Responsibilities
Design eval rubrics and test plans for AI features, write and extend production code with monitoring and regression tests, own features end-to-end from problem framing to rollout, debug failures across data/infra/model/prompt layers, design and implement retrieval pipelines or agent systems, collaborate with product and infra teams
Seniority
Mid-to-Senior, hands-on IC
