Check the public salary and equity calculator to get the numbers tailored to your level and location.

Our calculator maintains fairness and pay equity within the organization, and you can find more info on how we calculate salaries here.

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.

Team & Context

Gorgias is an AI-first company building products powered by LLMs and agent-based systems.

As we scale our AI capabilities, we need to improve how we evaluate, iterate, and operate these systems in production. Today, parts of this process remain manual or fragmented, especially around prompt iteration, validation, and evaluation workflows.

This role will focus on building and scaling the systems that support AI evaluation and iteration, helping the team move faster and more reliably.

About the Role

You’ll have a chance to:

• 🤖 Work on production AI systems used by thousands of businesses

• 🧠 Define how we evaluate and improve AI performance at scale

• 🏗️ Build internal platforms and tooling used by AI and engineering teams

• 📈 Reduce manual processes and improve iteration speed on AI features

• 👥 Collaborate across AI, ML, and product teams

• 🧑‍🏫 Raise the engineering bar and mentor others

What You’ll Do

• Design and build systems for evaluating AI performance (offline and online)

• Develop workflows and tooling for prompt iteration and validation

• Improve the reliability, scalability, and observability of AI systems in production

• Work closely with ML Engineers and AI Engineers to integrate evaluation into development workflows

• Collaborate with product teams to ship AI-powered features

• Take ownership of systems end-to-end, from design to production and monitoring

• Contribute to improving engineering practices around AI development and evaluation

• Mentor engineers and help structure how the team approaches AI engineering

Who You Are

• 8+ years of experience in software engineering

• Strong backend engineering background

• Experience building and scaling production systems

• Experience working with AI systems (LLMs, agents, or similar)

You likely come from one of the following backgrounds:

• Staff or senior software engineer who has moved into AI systems

• Engineer working on applied AI products in production

• Experience building internal platforms or developer tooling

What You’ll Do

1. Architect the Evaluation "Factory"

• End-to-End Platform Ownership: Architect and lead the development of our internal evaluation platform, moving the needle from manual testing to a fully automated lifecycle (from LLM-as-a-judge creation to production monitoring).

• Accelerate Time-to-Market: Directly impact our primary KPI by designing tools and workflows that drastically reduce the time it takes to deliver a calibrated, production-ready agent.

• Infrastructure Collaboration: Partner with the Orchestration team to build the robust, scalable infrastructure required to run complex evals and agentic simulations at scale.

2. Scaling AI Expertise

• Squad Empowerment: Serve as the "AI Technical Lead" for product squads, guiding them through the complexities of agent design, failure analysis, and prompting best practices.

• Decentralize Quality: Instead of being a bottleneck, you will build the "paved road" that allows product squads to become autonomous in measuring and maintaining their own agent quality.

• Standard Setting: Define what "good" looks like for AI at [Company Name]. You’ll translate non-deterministic AI behavior into predictable engineering metrics that the whole organization can trust.

3. Engineering Leadership

• Mentor & Level Up: Bridge the gap between traditional software engineering and AI. You’ll mentor engineers on how to apply rigorous system design to the world of LLMs and agents.

• Continuous Observability: Take ownership of the feedback loop, ensuring that production insights from our agents directly inform the next iteration of our evaluation datasets.

Who You Are

• 8+ Years of Engineering Excellence: You are a Staff-level engineer first. You’ve built systems that handle high scale, and you know how to architect for long-term maintainability and performance.

• Agentic Curiosity: You’ve moved beyond the "chatbot" phase and are actively experimenting with AI Agents. You understand that the challenge isn't the prompt, but the orchestration, state management, and reliability of the agent's actions.

• Systems Thinker (Non-Deterministic Mindset): You recognize that AI is probabilistic. You are excited by the challenge of building deterministic "wrappers" and Evaluation loops around models to make them safe for production.

• The "Applied" Edge: You likely come from a background in distributed systems, internal platforms, or developer tooling, and you're now applying that rigor to the AI stack.

What We’re Looking For

• Beyond the Wrapper: You have serious experience moving beyond simple API calls to architecting multi-stage AI orchestrations (agents, chained workflows, or custom runtime logic).

• Orchestration Experience: Even if you aren't an AI researcher, you have experience building complex, multi-step workflows (e.g., temporal systems, state machines, or event-driven architectures) and want to apply this to Agentic loops.

• Reliability Obsession: You understand why "vibes-based" testing doesn't work. You’ve started exploring or building Eval frameworks to measure how models perform against real-world data.

• Infrastructure Mindset: You are comfortable with the "glue" that makes AI work: vector databases, semantic caching, and API integration with third-party tools.

Tech Stack & Experience

• Strong backend experience (Python preferred)

• Experience with distributed systems and event-driven architectures

• Familiarity with tools like Kafka, Pub/Sub, or equivalent

• Experience working with LLMs (prompting, RAG, agents, evaluation workflows)

• Experience building APIs and scalable services

• Understanding of monitoring, observability, and system performance

Hiring Process

• Recruiter phone screen

• HM Interview

• System Design Interview

• AI Case Study (take-home, ~1–2 hours)

• Technical Deep Dive of case study

• Final Leadership Interview

Perks and Benefits

• 💰Competitive salary & equity (90th percentile worldwide, go check our public salary calculator)

• 🏖️ 5-week vacation plus 2 weeks RTT (We follow each country's appropriate PTO Laws)

• 🤕 Paid sick leave

• 🧸 Paid parental leave (16 weeks)

• 💻 MacBook Pro

• 🍽️ Personal credit card to buy lunches (we use Swile)

• 🏥 We provide private health insurance (we use GAN)

• 💆🏻‍♀️ Get up to €700 to set up your workstation at home (working from home should feel breezy)

• 📚 Get up to €2000 of learning material and wellness support per year! This includes €1500 for learning material (such as books, courses, and individual coaching sessions) directly linked to your job scope, as well as a €500 wellness budget. Take advantage of these resources to grow in your role and prioritize your personal development and wellness.

• 🥰 Every quarter, we organize an online company-wide summit to discuss where we’re going and strengthen social bonds. Once per year we organize offsite team retreats and company retreats!

AI at Gorgias
At Gorgias, AI is a natural extension of how we work and build. Our teams use it every day to research, write, analyze, code, and craft better customer experiences. Everyone has access to premium AI tools (ChatGPT, Claude, Granola & others) and an annual L&D budget to explore new ones.

The real magic happens when we share what we learn. Our #powerup Slack channel is a digital petri dish of new tools and workflows, and each team has AI champions who showcase fresh ideas during weekly company-wide standups, now practically AI demo sessions.

We see AI not as a replacement for creativity or empathy, but as a multiplier, helping us move faster, think deeper, and serve customers better.

AI use in Recruiting at Gorgias
By submitting your application, you agree that Gorgias may collect and process your personal data for recruiting, workforce planning, and related purposes. For more information about how we process your data and your rights, please refer to our Applicant Privacy Policy.

Diversity & Inclusion at Gorgias
We’re committed to creating an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, experiences, and perspectives because diverse teams drive innovation and better decision-making.

If you need accommodations during the application or interview process, please contact us at accommodation@gorgias.com.

Compensation Range: €131,083 - €144,882