Senior AI Developer (LATAM) | Remote

Overview

We are a San Francisco-based digital health company building AI-powered solutions to make healthcare more accessible and efficient for patients and providers across Latin America. We're hiring a Senior AI Developer to accelerate our product development and ensure our technology delivers real clinical impact at scale in underserved markets.

What You'll Do

• Design, build, and operate AI-powered features and systems aligned with Generative AI, delivering intelligent, production-grade product experiences.
• Develop and integrate AI capabilities such as LLMs, agents, embeddings, and inference pipelines into backend services and applications.
• Architect AI workflows including prompt orchestration, tool calling, retrieval augmentation (RAG), and model routing.
• Own the end-to-end lifecycle of AI systems — from experimentation and prototyping to deployment, monitoring, and continuous improvement.
• Build scalable APIs and services that expose AI functionality reliably and securely to product surfaces.
• Collaborate closely with product, backend, and design teams to translate business problems into effective AI-driven solutions.
• Ensure AI system quality through evaluation, testing, observability, and performance monitoring.
• Address AI-specific concerns including latency, cost optimization, reliability, hallucination mitigation, and safety constraints.
• Stay current with emerging AI models, frameworks, and best practices, applying them pragmatically to real-world systems.
• Design and integrate AI capabilities aligned with Generative AI into product features and backend systems.
• Build and maintain AI workflows such as prompt orchestration, retrieval augmentation, and agent-based execution to solve real product problems.

What We're Looking For

• 5+ years of professional software engineering experience, with at least 3 years building AI-powered systems in production.
• Strong experience integrating LLMs, ML models, or AI services into backend systems and applications.
• Solid understanding of AI system design patterns, including RAG, agents, prompt engineering, and orchestration.
• Experience designing and consuming APIs for AI-powered services.
• Hands-on experience evaluating model quality, performance, and reliability in real-world environments.
• Strong programming skills in at least one backend language (e.g., Python, Node.js, Java, or similar).
• Ability to reason about trade-offs between accuracy, latency, cost, and system complexity.
• Hands-on experience building AI-powered features using modern AI models or frameworks aligned with Generative AI.
• Solid understanding of AI system design trade-offs, including accuracy, latency, cost, and reliability.

Nice-to-Haves

• Experience training, fine-tuning, or adapting ML models for production use.
• Familiarity with vector databases, embedding strategies, and semantic search.
• Knowledge of AI safety, governance, and responsible AI practices.
• Experience with multi-modal AI systems (text, vision, speech).

How You Would Fit

• Strong Ownership – you take responsibility end-to-end, not just for tasks but for outcomes. We need developers who own the full lifecycle of their work, from conception through delivery, ensuring our digital health solutions meet the highest standards for patient care.
• Clear Communication – you share context early, write clearly, and make complex ideas easy for others. In our collaborative healthcare technology environment, the ability to articulate technical concepts to both technical and non-technical stakeholders is essential for building solutions that truly serve our users.
• Problem Solving – you move fast from ambiguity to structure, breaking problems into clear, actionable paths. Our mission to transform healthcare through technology demands developers who can navigate complexity and rapidly identify the most impactful solutions.
• Structural Thinking – you design systems, not hacks. Your work scales and your reasoning is grounded in logic. We build reliable, scalable digital health infrastructure that healthcare providers and patients depend on, requiring thoughtful architectural decisions over quick fixes.
• High Velocity – you bias for progress, ship iteratively, and know that momentum compounds. We move quickly to deliver healthcare innovations while maintaining quality, understanding that rapid iteration helps us better serve our users' evolving needs.

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