AI Engineer

• Hybrid São Paulo
• $100000 $180000
• 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.

Youll 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 Youll 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 Were 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

• $100000 $180000 (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 youre 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...