About The Role

Join Kargo as an AI Engineer, where you will architect, build, and scale AI-powered products and automations for the commercial organization. You will work within the Data & AI team, identifying high-value use cases, building intelligent workflows, and deploying trustworthy systems across various internal platforms. You will also own the strategic roadmap for AI operations at Kargo and work cross-functionally with various teams to discover automation opportunities and drive self-service adoption.

Architect, build, and scale AI-powered products and automations for Kargo’s commercial organization.
Design, build, deploy, and maintain AI-powered automations and agent workflows using modern orchestration frameworks.
Work cross-functionally with Sales, Client Services, Media Strategy, Marketing, Product, and Ops to discover automation opportunities.
5–8+ years in systems automation, internal tools, or process/data engineering; hands-on with orchestration platforms such as n8n, LangGraph, Zapier, or Make; strong familiarity with SaaS APIs and system interoperability
Prompt libraries, embeddings-based retrieval, or vector databases (Pinecone, Weaviate) and RAG pipelines
Retool or Streamlit for lightweight internal UIs; ArgoCD or Kubernetes CI/CD experience
Builder’s Instinct: Ships fast, iterates on real feedback, and knows when to build vs. buy — comfortable defining the problem and executing without a fully specified brief
Cross-Functional Fluency: Translates between engineers and revenue leadership, earns trust by delivering things that work, and stays close to adoption after deployment
Bias for Impact: Prioritizes automations that move a real business metric and measures success by adoption and friction reduction — not lines of code
Ownership & Accountability: Owns the roadmap end-to-end, communicates proactively, flags blockers early, and treats internal users like customers
Growth Mindset: Stays current on the LLM and AI agent landscape, applies new tooling when it matters, and shares knowledge generously to raise AI fluency across teams

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