Role: AI Enablement Engineer (LLM Agents | Developer Experience | AI-First Engineering) Position Type: Full-Time Contract (40hrs/week) Contract Duration: Long Term Work Schedule: 8 hours/day (Mon-Fri) Work Hours: PST Location: 100% Remote - (Candidates can work from anywhere in LATAM Countries) We are building an AI-first engineering organization where AI is embedded across the entire software development lifecycle — not as an experiment, but as core infrastructure. We’re looking for a hands-on engineer to help design and build the systems, agents, and standards that make engineering teams significantly faster using AI. This is a builder role, not a research or ML modeling role. What you’ll do Build AI agents for real engineering workflows (PR review, code generation, testing, debugging) Embed AI across the SDLC (requirements → code → CI/CD → documentation) Design and scale “golden paths” for AI-enabled development Drive adoption of tools like Cursor, Claude Code, and Copilot Create reusable patterns for AI-powered engineering workflows Instrument and measure impact using DORA + SPACE metrics Build lightweight AI infrastructure (AWS, LLM APIs, CI/CD integrations) What we’re looking for 8+ years in Platform Engineering, DevOps, or Developer Experience Strong Python engineering background Hands-on experience with LLM APIs or Generative AI in production Daily use of tools like Cursor, Claude Code, or GitHub Copilot Experience building internal developer platforms or workflows AWS + CI/CD experience (GitLab preferred) Strong differentiators (big plus) Built AI agents or multi-agent systems Experience with RAG, LangChain, LlamaIndex, or vector databases Exposure to <