Lead Fullstack Software Engineer, AI (Backend focused)

Our mission is to turn every interaction between a brand and its customers into a relationship: personal, seamless, and intelligent. By combining deep product expertise with the latest AI, we’re making shopping feel more natural, human, and connected than ever before.Team & Context Gorgias is an AI‑first company building products powered by LLMs and agent‑based systems. The AI Journey team is building the marketing side of that vision: AI‑driven outbound conversations that re‑engage shoppers across the funnel, primarily via SMS.

The product is live and used by merchants today. We process hundreds of millions of shopper events to power it, and we’re now scaling further: making the AI more reliable at higher volumes, expanding what shoppers we can engage and how, and hardening the systems behind it for serious production load.About The Role You’ll have a chance to:Build and scale production AI features used by thousands of merchantsWork directly with LLMs, prompts, and agent workflows in a real product environmentShape the architecture of AI systems as we continuously evolve and improve our platformTurn shopper signals, events, behaviours, and order history into context that drives LLM‑powered conversationsOperate in a fast‑moving, exploratory team building a new product areaWhat You’ll Do Build and Scale AI Product FeaturesDevelop end‑to‑end features across backend, APIs, and frontendTranslate shopper event streams and product data into the context that LLMs can act onOwn the multi‑turn conversational behaviour of our AI Agent: quality, reliability, and iteration in productionMake the AI System Better Over TimeBuild and improve evaluation workflows for prompts and agent behaviourDefine practical ways to measure and improve AI performance in productionOptimize for cost and latency as models and usage scaleShape the ArchitectureEvolve the platform as we scale it for higher load and more complex use casesImprove data ingestion, context building, and observabilityPartner with product and design to shape AI‑driven user experiencesWho You Are Experienced Full‑stack Engineer (5+ years preferred): You’ve built and shipped production systems across backend and frontend. Strong mid‑level engineers with a clear track record of ownership are welcome to apply.Hands‑on with AI Systems: You’ve worked with LLMs in a real product context, not just prototypes.Builder Mindset: You’re comfortable owning ambiguous problems and shipping end‑to‑end solutions.System Thinker: You understand how to make non‑deterministic systems more reliable.Assertive and Self‑Directed: You can operate in an exploratory environment with high ownership.What We’re Looking For Required Strong backend foundations and the ability to quickly pick up new languages.

We work in Python and TypeScript, and we hire for problem‑solving, not specific stacks.Production experience integrating LLMs into user‑facing products, including multi‑turn or agentic systems.Hands‑on experience evaluating prompts and agent behaviour, formally or informally. You’ve had to answer “Is this getting better or worse?” in production.Experience designing systems that turn structured data (events, user state, transactions) into LLM context.Experience building and operating APIs and event‑driven services.Comfort with frontend work when needed (React), even if your centre of gravity is backend.Nice to have LLM observability tooling experience.Experience optimizing inference cost or latency in production.E‑commerce, merchant‑facing, or marketing‑tech product experience.Tech Stack & Experience Backend: Python and TypeScriptFrontend: ReactInfrastructure: Event‑driven services, Temporal workflows, APIsAI: LLMs, prompt engineering, multi‑turn conversational systems, agent SDKs, evaluationHiring Process Recruiter phone screenHiring Manager interviewSystem Design interviewLive Coding interviewFinal interviewEEO & Accessibility Statement We’re committed to creating an inclusive environment where everyone can thrive. If you need accommodations during the application or interview process, please contact us at [email protected].#J-18808-Ljbffr