Senior Agentic Engineer
New
Remote-first (Argentina)Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Business-level fluency to read, write and speak in English
- Experience
- 4-6+ years
- Required Skills
- Artificial IntelligenceJiraRESTful APIsConfluenceSlack
Requirements
- BA/BS degree or equivalent experience
- Business-level fluency to read, write and speak in English
- 4-6+ years of hands-on experience in automation engineering, internal tooling, or a technical program/operations role
- Deep AI and agent fluency: You're fluent in LLMs, their APIs, vector databases, context engineering, and RAG, and you know how to combine them into reliable agents and workflows.
- Turn operational problems into working software: You can take a messy, manual process (beta recruitment, resource tracking, program reporting) and turn it into a reliable, automated workflow.
- Code and connect systems confidently: You design with and around APIs, webhooks, and integration platforms, and you're comfortable wiring together tools like Jira, Confluence, Slack, and internal data sources.
- Understand how EPD orgs actually operate: You've worked close enough to engineering, product, or design teams to understand their rhythms: planning cycles, launch processes, cross-team dependencies, and where operational friction lives.
- Balance speed with reliability: You're highly self-directed and build responsibly, shipping fast without cutting corners on access control, data integrity, or maintainability.
- Communicate across technical and non-technical audiences: You can demo a tool to a VP, write documentation a PM can follow, and debug an integration with an engineer, all in the same day.
- Have the receipts: You can point to internal tools, agents, or automation frameworks you've built that solved real operational problems and got adopted by real teams.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- Document and Enable Adoption: Create clear documentation, guides, and demos that help both technical and non-technical teammates adopt, trust, and troubleshoot the tools you build.
- 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.
- Drive Responsible AI Practices: Track usage, flag risks, and support responsible evaluation as AI becomes embedded deeper into how EPDI operates.
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