Senior AI Engineer (LATAM) – Healthcare | Remote
Summary
Build LLM-powered agents, AI workflows, and intelligent automation for healthcare operations as a Senior AI Engineer. Work with Python, FastAPI, PostgreSQL, vector databases, and LLMs (OpenAI/Anthropic) to ship AI features that support mission-critical healthcare systems in a fully remote LATAM team.
Overview
We’re looking for a Senior AI Engineer who blends deep technical skill with strong product sense. Someone who loves understanding real customer problems, builds AI systems that directly improve user experiences, and thrives in a fast‑moving, fully remote team.
You'll design and ship LLM‑powered agents, AI workflows, and intelligent automation that support mission‑critical healthcare operations.
What You'll Do
Design and build AI workflows + agent‑based systems used by healthcare teams.
Develop LLM‑powered features (OpenAI, Anthropic, etc.) including prompt engineering, evaluation, and fine‑tuning.
Build AI tools for document processing, compliance automation, recommendations, and voice/speech integrations.
Work closely with product, engineering, and ops to turn real user needs into AI solutions.
Develop backend services with Node.js, PostgreSQL, vector databases, and RAG pipelines.
Integrate and orchestrate automations using n8n, Zapier, Vellum, or similar platforms.
Monitor and optimize AI performance based on real usage and feedback.
Communicate clearly in writing, share work openly, and collaborate asynchronously.
What We're Looking For
5+ years in software engineering
3+ years building AI/ML systems
Strong hands‑on experience with LLMs + OpenAI models
Proficiency with Python, FastAPI, PostgreSQL, vector DBs
Experience with document AI, recommendations, voice/speech, or multimodal systems
Ability to architect scalable agent-based workflows
Experience with n8n / Zapier / Vellum (or similar tools)
Strong product intuition + user‑centric thinking
Excellent written communication; comfortable working fully remotely
Nice-to-Haves
Experience training, fine-tuning, or adapting ML models for production use.
Familiarity with vector databases, embedding strategies, and semantic search.
Knowledge of AI safety, governance, and responsible AI practices.
Experience with multi-modal AI systems (text, vision, speech).
Building Digital Health Platform .
How You Would Fit
Customer‑centric: You enjoy understanding how healthcare users work and designing tools that make their jobs easier.
Writing clarity: We operate in writing - clear communication is essential.
Ownership: Engineers run projects end‑to‑end - scoping, timelines, delivery, and quality.