• 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...