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Senior Full Stack AI Engineer (Healthcare Systems) - LATAM - English Required at DaCodes. Work at DaCodes!. We are a high-impact software and digital transformation firm.. For over 10 years, we have built technology- and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results.. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based infrastructures.. Our DaCoders play a key role in the success of both our business and our clients. You will be the expert involved in our projects and will gain access to disruptive startups and global brands.. Interested?. We are looking for a . Senior Full Stack AI Engineer. to join a healthcare-focused project where AI is a core capability of the product, not an experiment. This role requires strong full stack foundations combined with real-world experience designing, building, and operating . LLM-powered systems in production. .. You will work on end-to-end AI-driven features, from backend services and AI orchestration layers to modern frontend applications, integrating complex healthcare systems while ensuring security, compliance, and scalability. This is a . builder + architect. role with high ownership, long-term impact, and real production responsibility.. REQUERIMIENTOS. Key Responsibilities. Design, build, and operate . production-ready AI features. powered by Large Language Models (LLMs). . Develop and maintain . Python-based backend services and APIs. , including async and high-performance systems. . Build and evolve . frontend applications using React and TypeScript. , integrating AI capabilities into real user-facing workflows. . Design and implement . RAG-style architectures. , including vector search and document ingestion pipelines. . Architect and maintain . cloud-native infrastructure. using AWS, Docker, and CI/CD pipelines. . Ensure system . scalability, reliability, observability, and security. in production environments. . Collaborate closely with cross-functional teams to design robust integrations across healthcare systems. . Contribute to architectural decisions, technical direction, and best practices across the platform. . Take ownership of features and systems from design through deployment and ongoing operation. . Desired Profile. Experience & Seniority. Senior-level experience as a Full Stack or AI Engineer. . Proven experience delivering . LLM-powered products to production. (not limited to PoCs). . Experience working on complex, distributed systems with real users and business impact. . Technical Skills. Strong proficiency in . Python. for backend development (APIs, async patterns). . Solid experience with . React and TypeScript. in production environments. . Hands-on experience with . LLMs. , prompt engineering, and AI system orchestration. . Familiarity with . vector databases, semantic search, and RAG architectures. . . Experience with . AWS. , Docker, and modern . CI/CD. workflows. . Strong system design and architectural thinking. . Healthcare, Security & Integrations. Experience or strong familiarity with . healthcare systems and integrations. . . Awareness of . HIPAA and security best practices. when handling sensitive data. . Understanding of . intellectual property (IP). considerations and secure system integrations. . Experience integrating APIs and systems in regulated or compliance-heavy environments is highly valued. . Soft Skills. Strong ownership and accountability mindset. . Ability to work autonomously in distributed, remote teams. . Clear communication skills in English with technical and non-technical stakeholders. . Problem-solver with a builder mentality and architectural judgment. . Additional Requirements. . Advanced English required. (spoken and written). . . Remote position. , open to candidates across . LATAM. . . Availability to collaborate primarily with teams aligned to . US time zones. . . Company Location: Mexico.