Senior Software Engineer, Model Serving
Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.
Build customer-facing generative AI platform covering ML lifecycle from data generation to agent-building. Requires 4+ years experience in distributed systems and ML platforms, with strong product ownership.
Designs and builds scalable infrastructure for high-throughput, low-latency AI/ML model serving on CPU/GPU. Requires 5+ years in distributed systems, inference expertise, and strong system design skills.
Build and operate Mercury's real-time ML inference platform for fraud risk decisioning. Own model deployment, observability, and lifecycle tooling with strong backend Python fundamentals.
Senior Applied Research Engineer driving AI system quality through experimentation and evaluation of RAG, retrieval, and reasoning systems. Requires 5+ years applied ML/NLP experience with strong Python and evaluation methodology skills.
Senior AI Engineer to design, build, and scale agentic AI systems using LLMs for compliance automation. Own end-to-end development of production LLM + retrieval + agent workflows with focus on responsible AI.