via Himalayas
$77K - 77K a year
Design and deploy AI microservices, build LLM agent pipelines, and optimize ML systems at scale.
Strong backend Python experience, hands-on with LLMs, frameworks like LangChain, and ability to ship autonomous AI products.
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.
This job posting was last updated on 1/8/2026