Teams at Loop AI - Delivery Intelligence Platform

Own technical direction across multiple engineering pods, lead distributed-system architecture, prototype ambiguous initiatives, and remain hands-on in code. Establish standards for design, testing, reviews, and operational discipline; mentor senior engineers; shape hiring and interview processes; and partner with product, go-to-market, and leadership to translate business strategy into a technical roadmap. Build and scale AI agentic systems involving model APIs, prompt orchestration, tool-calling, evaluation, and data pipelines.

Own technical direction and architecture for major backend systems and product features. Build end-to-end distributed services, data pipelines, and LLM-powered agent workflows involving tool calling, retrieval, orchestration, evaluation, and safety guardrails. Lead design and code reviews, establish testing and observability standards, mentor engineers, and collaborate with product, sales, customer success, and leadership to ship reliable production solutions.

Own backend product development from scoping through production. Build LLM-powered agent workflows using tool calling, prompt orchestration, retrieval, and safety guardrails. Develop reliable ingestion streams, ETL pipelines, data architectures, distributed services, and cloud infrastructure on GCP. Collaborate with Product and senior engineers to shape 0-to-1 solutions, optimize systems, and maintain correctness, cost efficiency, and operational reliability.