Full Stack AI Engineer
Descrição da Vaga
Full Stack AI Engineer (Agents) Full\-time \| 8 hours/day \| Remote Compensation: USD $6,000 to $8,000 per month (based on experience) Must\-haves * Based in Latin America * Fluent English (written and spoken) * Proven experience shipping LLM or agent features to real users Working hours: Flexible schedule, but you must be available from 12:00 PM to 4:00 PM Pacific Time. Full Stack AI Engineer (Agents) \| Remote (Mexico) About Quoteable.ai Quoteable.ai is building Able, an AI co\-pilot for plumbing, HVAC, and electrical suppliers. Able helps teams eliminate repetitive job quoting tasks so they can move faster from quote to cash. We’re looking for a Full Stack AI Engineer who has shipped real LLM or agent\-based features to production and can own work end\-to\-end across product, backend, frontend, and deployment. What you’ll do * Build and ship agent\-driven workflows that automate quoting tasks for real users * Design and implement backend services and APIs (Python \+ FastAPI) * Build polished product experiences on the frontend (React, Next.js, TypeScript) * Integrate LLMs (tool/function calling, agent orchestration, evaluation, guardrails) * Deploy, monitor, and debug production systems (Docker, cloud, CI/CD) * Move fast in an early\-stage environment, working closely with the founders on roadmap and execution What we’re looking for (must\-haves) * Proven experience shipping LLM or agent features to real users (not just demos) * Strong full\-stack ability: Python \+ FastAPI and React/Next.js \+ TypeScript * Comfortable owning deployment and production debugging (Docker and cloud like AWS/GCP) * Strong product judgment, speed, and ownership in ambiguous environments * Clear communication and ability to collaborate in real time Nice\-to\-haves * LangGraph, Vercel AI SDK, Google ADK, or similar agent frameworks * RAG and vector databases * Multi\-tenant SaaS experience * Postgres and pragmatic data modeling
Vaga originalmente publicada em: linkedin
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