AI Engineer, Gorgias

• You have 2+ years of experience in software engineering, with strong Python skills
• You’ve built applications using LLMs via APIs or open-source frameworks (e.g. LangChain)
• You move fast and adapt quickly — you keep up with changes in the AI space and love building things that ship
• You think in terms of value and iteration: ship → learn → improve
• You're comfortable working with data models, querying databases, and structuring input/output for AI systems
• You stay organized, prioritize well, and can move between projects with clarity and focus

Desirable

• We build and power the Gorgias Decision Engine — our integrated system combining infrastructure, data, context, decision products, and AI capabilities
• It allows teams to access insights, automate workflows, and operate with clarity
• Our engineering team is structured around three layers:
• Data Infrastructure – pipelines, storage, orchestration
• Context Layer – dbt models, semantic layer, metrics, company knowledge
• AI Engineering – LLM agents, integrations, knowledge tools, workflow automations
• We’re hiring an AI Engineer to help us scale the impact of the team and build the next generation of internal AI tools
• As an AI Engineer, you’ll play a central role in building internal AI-powered applications that drive decision-making and efficiency across Gorgias
• Design and build AI applications using foundation models (Anthropic, Gemini, OpenAI) layered with our internal data and context
• Build and maintain AI agents and automation workflows that improve access to insights and reduce manual work
• Write detailed instruction sets to guide agent behavior across a wide range of tasks
• Design interaction layers for agents, including UI/UX components, streaming responses, and human-in-the-loop control
• Build internal systems to evaluate agent performance, track reliability, and identify improvement opportunities
• Support internal teams in adopting and iterating on AI tooling across their workflows
• Our Current Stack:
• AI Engineering: LangChain / LangGraph
• Observability: Datadog, LangSmith
• Backend: Python
• Data: BigQuery, dbt
• Infrastructure: GCP, LLM providers
• CI/CD & Infra: GitHub Actions, Terraform, ArgoCD
• Project Management: Linear, Notion