AI Engineer | LLM Systems & Agent Pipelines (HealthTech)

Hybrid | São Paulo $100,000 – $180,000 AI | HealthTech | LLM Systems | Real-Time Inference Snapshot Join a fast-scaling AI healthtech company building real-time systems that operate directly inside clinical workflows — from transcription to structured medical records and decision support. You'll design and scale AI systems used by millions , powering a new generation of AI Healthcare Employees that work seamlessly alongside doctors. This is not experimentation — this is production-grade AI at scale in real-world environments . What You'll Do Design and scale Python microservices (FastAPI) for real-time AI inference Build and orchestrate LLM agent pipelines (multi-step reasoning workflows) Own AI systems end-to-end: Architecture deployment monitoring optimization Develop data pipelines + evaluation systems for AI performance Integrate AI systems into core healthcare products Translate ambiguous requirements into scalable technical solutions Tech Stack Python, FastAPI LangChain, LangGraph, PydanticAI PostgreSQL, Firestore, Vector DBs, Graph DBs RAG, AI Observability, Data Pipelines What We're Looking For Senior backend / AI engineer with hands-on LLM production experience Proven experience scaling AI systems to large user bases (millions) Strong expertise in: LLM orchestration Agentic workflows Context engineering (RAG, embeddings, vector stores) Experience building real-time inference systems Fluent in English Bonus: Healthtech or regulated industry experience AI observability / evaluation systems Startup experience Compensation & Benefits $100,000 – $180,000 (USD) High-impact role in a fast-growing AI healthtech company Work on real-world AI systems with measurable impact Location & Eligibility Hybrid | São Paulo Must be based in Brazil Must have valid work authorization Comfortable with hybrid work model (São Paulo) Ideal Candidate Profile Has built LLM-based systems in production (not just prototypes) Thinks in systems, scale, and reliability — not just prompts Comfortable with ambiguity + product-driven development Strong ownership mindset with fast execution Why This Role Build AI systems deployed to millions of users Work on LLM agents, pipelines, and real-time inference systems Direct impact on clinical workflows and healthcare outcomes Operate in a high-ownership, fast-shipping environment Collaborate with clinicians, product, and engineering teams If you're building AI systems that go beyond demos — and want to deploy real, intelligent systems into environments where they truly matter — this is where you do it. Apply now...