Senior Full-stack Engineer (Voice AI)

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.