G2i Benefits Overview

Build and ship production features across a TypeScript stack, owning backend services, APIs, integrations, data flows, and AWS serverless infrastructure. Contribute to React and Next.js frontend work, enterprise customer implementations, and AI-native development workflows. Translate ambiguous customer needs into maintainable product capabilities, review AI-generated code, and uphold security, reliability, and quality standards. Help shape architecture, engineering practices, and product direction in an early-stage environment.

Build and operate production LLM agents, orchestration layers, tool-calling systems, retrieval pipelines, asynchronous workflows, and evaluation frameworks. Improve agent reliability, retrieval quality, latency, cost, and observability through production investigation and experimentation. The role requires strong backend engineering, experience with RAG and search systems, durable workflow design, and the ability to explain architectural decisions and trade-offs.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.