Senior Full-stack Engineer (Voice AI)

Requisitos

• Senior Software Engineer Required • 5+ years of professional software engineering experience building and maintaining production applications. • Strong full-stack engineering experience with a clear backend emphasis
• This person should be capable on the frontend, but we are primarily looking for depth in backend architecture, APIs, data, integrations, and production systems. • Strong professional experience with JavaScript, TypeScript, Node.js, Python, particularly for backend services, automation, AI integrations, or data-intensive workflows. • Strong experience designing, building, and integrating REST APIs, webhooks, third-party APIs, and service-to-service integrations. • Experience building and operating production systems in AWS, including familiarity with cloud infrastructure, deployment, storage, networking, logging, monitoring, and security concepts. • Deep PostgreSQL and relational database experience, including data modeling, schema design, migrations, indexing, query optimization, data integrity, and debugging performance issues. • Experience designing backend systems that are reliable, maintainable, observable, and scalable, including appropriate use of queues, background jobs, caching, retries, logging, monitoring, and error handling. • Demonstrated experience owning software through the full product development lifecycle: understanding requirements and customer problems, designing a solution, implementing it, deploying it, monitoring it, and iterating based on real-world usage
• AI and automation experience • Strong hands-on experience building with LLMs, AI agents, and AI assistants in production. • Ability to design agentic workflows where models can reason over context, call tools and APIs, execute multi-step tasks, maintain state, and interact reliably with external systems. • Experience implementing the patterns required to make AI systems dependable, including tool/function calling, structured outputs, prompt and context management, orchestration, guardrails, retries, fallback behavior, observability, testing/evaluation, and failure handling. • Ability to determine when an AI agent is appropriate versus when deterministic software or workflow automation is the better solution, and to design systems that combine both effectively. • Experience with workflow automation and orchestration, using tools such as n8n or equivalent technologies. • Comfortable using AI-powered engineering tools and coding agents to accelerate development, debugging, investigation, testing, documentation, and internal workflows
• Preferred, but not required • Experience building Voice AI, conversational AI, telephony, speech-to-text, or text-to- speech systems. • Experience with agent frameworks, orchestration platforms, or custom agent architectures. • Experience working with healthcare software, EHR integrations, scheduling systems, or healthcare interoperability. • Experience in an early-stage startup or another environment where engineers have significant ownership and limited process. • Experience mentoring other engineers or serving as a technical lead. • Experience with n8n specifically
• The type of engineer we want We are not looking for someone who needs fully defined tickets before beginning work
• We want someone who can be given a problem rather than a specification: someone who investigates it, asks the right questions, identifies a path forward, communicates tradeoffs, builds the solution, and follows through after it reaches production
• The right person is: • Highly self-directed and comfortable operating with limited structure. • Product-minded and interested in why something is being built, not only how. • Comfortable making decisions and taking ownership while knowing when to ask for input. • Pragmatic: capable of moving quickly without creating unnecessary technical debt. • Naturally inclined to improve systems, automate repetitive work, and remove bottlenecks. • Comfortable moving across backend systems, APIs, databases, cloud infrastructure, automation, and AI systems as the problem requires. • Collaborative and capable of making the engineers around them more effective