Senior Agentic Engineer

Webflow · Enterprise · Argentina · Remote · Engineering

Senior Agentic Engineer to build and scale internal AI infrastructure and operational workflows for EPD teams. The role involves designing, implementing, and automating core processes using AI-powered agents, managing an internal skills and agent library, and translating operational pain points into AI solutions. Responsibilities include full-stack AI builds, documentation, and applied AI experiments with RAG and agent frameworks.

What you'd actually do

  1. Build Agents and Automations for EPDI Operations: Design, build, and ship AI-powered agents and workflows that automate core operational processes across Engineering, Product, Design, and Insights, from beta recruitment and launch readiness to resource tracking and program reporting.
  2. Own the Internal Skills and Agent Library: Build and maintain a curated library of reusable AI skills and agents that EPDI teams can leverage out of the box, ensuring quality, discoverability, and consistent patterns across the org.
  3. Translate Operational Pain Points Into AI Workflows: Partner with EPD leaders and program teams to identify high-friction manual processes and turn them into reliable, AI-backed automations that balance usability, scalability, and business impact.
  4. Own Full-Stack AI Builds End to End: From prototyping with APIs and webhooks to deploying internal services and integrations, own the full build cycle, connecting AI platforms to internal tools like Jira, Confluence, Slack, and internal data sources.
  5. Run Applied AI Experiments: Lead hands-on R&D with context engineering, RAG architectures, and emerging agent frameworks to find high-leverage solutions to operational challenges.

Skills

Required

  • 4-6+ years of hands-on experience in automation engineering, internal tooling, or a technical program/operations role
  • Fluent in LLMs, their APIs, vector databases, context engineering, and RAG
  • Ability to combine LLMs into reliable agents and workflows
  • Experience turning manual processes into automated workflows
  • Proficiency in designing with and around APIs, webhooks, and integration platforms
  • Comfortable wiring together tools like Jira, Confluence, Slack, and internal data sources
  • Business-level fluency to read, write and speak in English

Nice to have

  • Experience working close enough to engineering, product, or design teams to understand their rhythms
  • Experience shipping fast without cutting corners on access control, data integrity, or maintainability
  • Ability to communicate across technical and non-technical audiences
  • Experience building internal tools, agents, or automation frameworks that solved real operational problems and got adopted

What the JD emphasized

  • ship AI-powered agents and workflows
  • build and maintain a curated library of reusable AI skills and agents
  • turn them into reliable, AI-backed automations
  • Own Full-Stack AI Builds End to End
  • prototyping with APIs and webhooks
  • deploying internal services and integrations
  • context engineering, RAG architectures, and emerging agent frameworks

Other signals

  • AI-powered agents and workflows
  • internal AI infrastructure
  • automation in core operational processes
  • internal skills and agent library
  • prototyping with APIs and webhooks
  • deploying internal services and integrations
  • RAG architectures
  • emerging agent frameworks