AI Engineer (Bogota, Sao Paulo)

You'll join a technical team working on one of the most ambitious AI healthcare initiatives in the region. Aiming to transform clinical documentation and decision-making by structuring voice-based medical interactions.

The stack includes real-time inference, LLM agent architectures, data pipelines, and a product used daily by clinicians. The company values autonomy, speed, and a research-to-production mindset.

We're hiring a Senior AI Engineer who has shipped real AI products end-to-endnot just prototypes. Someone who knows how to design and deploy LLM agents, build pipelines, and operate ML systems at scale.

LOCATION: THIS ROLE IS OPEN FOR CANDIDATES BASED ON BOGOTA AND SAO PAULO.

Responsibilities

• Design and scale Python microservices (FastAPI) for real-time inference and structured data processing.
• Build AI agent pipelines using LangChain, CrewAI, or similar frameworks.
• Develop evaluation dashboards, monitoring tools, and data pipelines for model performance.
• Architect an LLM-based assistant that handles thousands of requests per minute with reliability and cost-efficiency.
• Integrate models, agents, and pipelines into the core clinical product.
• Troubleshoot and optimize LLM/ML systems in production.

Qualifications and Skills

• Strong backend experience in Python, especially with FastAPI and microservices.
• Hands-on experience at the AI application layer: LLM orchestration, agent design, pipelines.
• Familiarity with LangChain, CrewAI, RAG, vector DBs, and eval frameworks.
• Ability to ship autonomously with high velocity and precision.
• Strong ownership and comfort in high-ambiguity environments.
• C1 English, required for documentation, async coordination, and technical communication.
• Based ideally in Colombia, São Paulo, or US-aligned time zones.
• Previous experience within startup environments.

What we offer:

• Contractor modality.
• USD compensation: 6,400 USD.
• Model: Not on-site but not fully remote. 
• Occasional in-person work for technical workshops, product sprints, or alignment. ️ 
• Workload: Early-stage, extremely fast-moving environment where shipping quickly is essential. 
• Culture: English-first, experimentation-driven, autonomous, and highly product-focused.