AI Engineer - LATAM

Python (FastAPI) production experience (async, dependency injection, testing) Comfortable integrating with TypeScript/Node Built APIs with REST/GraphQL and at least one streaming pattern (SSE/WebSocket) LLM & RAG: embedding stores (pgvector / OpenSearch / etc), chunking strategies, re-rank, hybrid search; prompt tooling & templates; guardrails Observability & quality: structured logging, tracing, metrics; experiment/eval tooling (e.g., Langfuse-style telemetry), offline/online A/Bs Data & pipelines: robust CSV/Sheets ingestion, schema validation, PII handling, backfills, scheduled jobs Agentic experience: familiarity with MCP and agent frameworks, tool design, constrained execution, and safe planning 4-6+ years software engineering (product environments), ideally with hands-on experience in shipping LLM/GenAI to production Proven track record owning services end-to-end (design, implementation, rollout, monitoring, and iteration) Clear writing, pragmatic decision-making, and comfort collaborating with Mobile, Backend, and Ops (Dev/LLM)

Build, own, and operate production-ready LLM-powered services end-to-end Build and operate fast, reliable AI systems that power core platform features Enable accurate, data-grounded recommendations and intelligent workflows with production-grade performance and reliability at scale