Senior Software Engineer LLM-Porto Alegre / RSOverviewAs a Senior Software Engineer, you will be responsible for developing and maintaining mission-critical systems that power healthcare operations and interoperability for over 60 clinics and health systems. You will join a high-impact, growth-stage organization focused on healthcare and AI-enabled software development. We are a fully distributed, remote-first startup with engineering teams spread from UTC-3 to UTC-7, relying on strong asynchronous communication and occasional cross-timezone collaboration. Our stack is full-stack Typescript, including NestJS, React, Remix, Tailwind CSS, GraphQL, PostgreSQL, Redis, Pulumi, all on AWS. Our architecture is service oriented and managed in a Monorepo.ResponsibilitiesDesign, implement, and maintain highly scalable and performant services and applications.Integrate LLMs and AI services into production systems with attention to safety, observability, performance, and cost effectiveness.Build abstractions, APIs, and internal tooling to help other engineers and product teams leverage AI responsibly.Continually improve the codebase and test coverage through refactoring, automated testing, CI/CD, and strong developer productivity practices.Experiment with emerging AI technologies and evaluate their fit for products, balancing speed-to-market with reliability.Mentor and support other engineers, setting coding standards and architectural practices for long-term maintainability.Collaborate with cross-functional teams to design AI-enabled product experiences that meet real client needs.Qualifications5+ years of experience building robust, scalable full-stack applications, databases, and developer tools.Hands-on experience with LLMs or AI services (e.g., OpenAI, Anthropic, Vertex AI, Llama) in professional or personal capacity.Significant experience designing, building, deploying, and maintaining production applications at scale.Familiarity with modern web technologies (HTTP/2, WebSockets, gRPC, GraphQL).Ability to architect solutions to ambiguous problems with significant impact.Experience improving code quality through automated testing, CI/CD, and observability.Nice to HaveExperience designing evaluation frameworks for AI-enabled features (e.g., measuring quality, accuracy, and reliability of LLM outputs).Familiarity with RAG, embedding algorithms, and intent classification.Experience with observability and monitoring systems (Langfuse, Datadog, Grafana, Sentry, CloudWatch, etc.).Experience with infrastructure-as-code in production.Familiarity with internal UI and integration tools (Retool, Salesforce Communities, Contentful, Next.js, etc.).Experience with containers and orchestrators like Docker or Kubernetes.Background in healthcare, regulated industries, or EHR/EMR integration.You do not need to have prior experience with every technology in our stack; we value the ability to learn quickly and provide mentorship when needed.BenefitsFlexible paid time off (PTO) for any reason, including sick days, with a flexible work schedule.Opportunity to make immediate impact on the team in a fast-growing startup.
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