Software Engineer - Internal AI Platform

We believe conversations will become the #1 way to shop.

At Gorgias, we’re building the platform that makes this real: a unified AI agent that sells, supports, and re‑engages customers across the entire journey. Conversational Commerce is the future of ecommerce, and we’re leading that shift.

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 in AI, we’re making shopping feel more natural, human, and connected than ever before.

To win, we focus relentlessly on:

• Quality: conversations that feel authentic and on‑brand.
• Experience: effortless shopping from chat to checkout.
• Re-engagement: personal, 1‑1 dialogue instead of noisy marketing.

The opportunity is massive. As AI reshapes how people buy, Gorgias is building the foundation for the next decade of ecommerce, where every brand has its own intelligent agent and every customer feels understood.

Join us to make Conversational Commerce real.

We are the company‑wide platform and empowerment team for internal AI  mission: make Gorgias the company that operates best with AI — every employee exponentially more productive, every team able to build, and the whole thing governed without friction. We build the platform and we make it land; building is half the job, getting it into everyone's daily work is the other half.

We own two layers:

• The AI Infrastructure — the agent framework, runtime, evals, MCP servers, the skill registry, the Context Layer, LLM governance and model routing, deployment and observability. The substrate everything else is built on.
• Cortex — the internal AI Platform: the surface where employees work with AI on Gorgias problems, and increasingly where they build with it (agents, workflows, embedded apps), across Slack, the web app, automations, and the API.

We sit at the intersection of data, AI, and engineering, with three complementary roles:
Platform engineers (this role), who build the infrastructure, services, and surfaces everything runs on;
AI engineers
, who design and ship the agentic systems; and Context engineers
, who structure the data and knowledge that make those systems useful. Enablement and product sense are part of every role here — we treat the platform as a product, and Gorgians are our customers.

You’ll join our platform group and own, end to end, the systems and surfaces that make the whole company effective with AI — from the UI experience people use to the infrastructure it all runs on.

• Enhance the Cortex UX. Design and ship the user‑facing surfaces of the platform — the work hub, agent/app builder, workflows, connectors, embedded apps — with the product polish and reliability that make people want to use it.
• Own platform services and infrastructure. Internal APIs, background workers, integration layers; deployment pipelines on Kubernetes, Git Hub Actions, Terraform, and ArgoCD/Git Ops;
  Datadog monitoring, alerting, incident response, and capacity planning.
• Build the foundation for others to build on Cortex. The auth, integrations, and app framework that let other teams ship internal apps inside Cortex without touching the infrastructure underneath.
• Harden governance and cost control. Permissions, usage visibility, and the controls that let us empower people without overspending on LLM infrastructure.
• Raise the bar on developer, agent, and user experience. Reduce friction for AI and Context engineers, automate repetitive work, and keep the platform a place people reach for, not around. Just as important: make the codebase a place coding agents operate efficiently — clear conventions, tooling, docs, and fast feedback loops so agents can ship reliably with minimal hand‑holding. We embrace AI‑native workflows, and an agent‑legible codebase is a first‑class goal, not an afterthought.
• Be a pillar of the platform. Continuous peer review and shared coverage so the platform is never a one‑person operation, and so AI and Context engineers can stay focused on enablement and use cases.

• 3+ years as a full‑stack engineer
  , and you've shipped user‑facing products end to…