What you’ll do

📍Design & architect scalable, AI‑driven backend systems that power high‑performance user experiences and intelligent in‑product features across our flagship platforms. 📍Build and maintain robust APIs and micro‑services in Go (or similar performant languages) with an emphasis on reliability, security, developer ergonomics, and AI agent extensibility. 📍Develop production AI agents & services—from retrieval‑augmented generation (RAG) chatbots to autonomous ops agents—that super‑charge our products and internal developer workflows. 📍Integrate blockchain technologies and handle high‑throughput data flows and transactions, leveraging AI models for anomaly detection, fraud prevention, and dynamic pricing. 📍Implement real‑time monitoring, alerting, and self‑healing mechanisms, using AI/ML observability tools to proactively surface performance bottlenecks and optimization opportunities. 📍Lead backend efforts across the entire development lifecycle—from strategic planning and technical design to hands‑on implementation, deployment, and iteration. 📍Collaborate with cross‑functional teams (frontend, mobile, product, data science & design) to ship end‑to‑end experiences that are both performant and delightful. 📍Oversee database design, management, and optimization (SQL, NoSQL, and vector databases) across multiple systems and services. 📍Document system architecture, APIs, and AI model behaviors for internal and external development stakeholders. 📍Champion secure and ethical AI practices—ensuring user data privacy, model governance, and transparent decision‑making. 📍Mentor and eventually manage engineers, growing into a leadership role as the team scales, fostering an inclusive, high‑performance engineering culture. 📍Influence technical and product strategy as a founding engineer, partnering with leadership to set vision, prioritize investments, and allocate resources.

About you

📍Backend engineering experience, including building production AI/ML systems or intelligent agents. 📍Proven ability to design and implement scalable, cloud‑native architectures in Go (or comparable languages) on AWS, GCP, or similar. 📍Deep understanding of API architecture, distributed systems, and database technologies (both relational, NoSQL, and vector search). 📍Track record of shipping AI‑enabled features—prompt engineering, fine‑tuning LLMs, integrating commercial or open‑source models, and using frameworks such as LangChain or Semantic Kernel.

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