Senior Platform Engineer, AI Agents

About us

Talkie builds AI Agents for healthcare. Our agents handle patient-clinic communication end-to-end over voice calls, web chat, and SMS, so patients get 24/7 access to care and busy practices never miss a conversation. Every month, our AI Agents handle close to a million real patient conversations across the US and Poland. Our customers include primary care and specialty practices, and hospitals.

The role

We're looking for a Senior Product Engineer to join our Platform team. You'll build the features that power our AI Agents, in the backend and the UI. Much of that work touches telephony, clinical systems such as EHRs, and LLMs.

You'll own features until they run in production. You research the problem and shape requirements with our CPO. You propose the interaction and UI, design the architecture, build it across the stack, ship it, and watch how it behaves with real patients on real calls. You'll work alongside other Engineers, take requests from our Customer Success and Conversation Design teams, and work with many people across the product organisation.

Our engineers work with many AI agents at once. One agent implements a feature, another reviews it, and a third digs through logs or researches an unfamiliar API. This role requires fluency in that way of working.

What you'll do

• Own product features end-to-end. Research the problem, refine requirements with the CPO, propose the user interaction, and design a clean, usable UI. Then build it, ship it, and monitor it.

• Build across the stack. You'll write backend services and APIs in TypeScript and Node.js, frontend in React, and AWS infrastructure as code.

• Integrate LLMs into the product. Design how our agents use models and tools. Build evals that show whether a change made things better, and trade off quality, latency, and cost on purpose.

• Integrate with outside systems. Our agents depend on SIP telephony and call routing, EHR systems, LLM providers, and other services.

• Shape technical and architectural decisions. Take part in the team's design discussions, write and review technical proposals, and help set the direction of the platform. Keep it easy to change and maintain, and make sure it handles real-time calls efficiently.

• Mentor other engineers. Review their designs and code, pair with them on hard problems, and help them grow, including in how they work with agents.

• Turn open questions into plans. When a new problem or technology comes up, form a hypothesis, build a prototype, and measure it. Then come back with a list of trade-offs and a proposal the team can build on.

• Keep production healthy. Monitor what you ship, cut alert noise, and find and fix performance bottlenecks.

AI-native development

This is how we work every day, and we expect you to help us improve it.

• Orchestrate agents. You run several coding agents in parallel for implementation, code review, log and incident investigation, and research. You know how to direct them, check their output, and correct it.

• Improve the codebase for agents. You know what makes a codebase easy for agents to work in, such as clear module boundaries, good agent instructions in AGENTS.md or CLAUDE.md, and fast feedback loops. You make ours better.

• Build skills and agent workflows. You write and maintain reusable skills, commands, and workflows that encode how the team works, so agents get it right the first time.

• Share what works. You teach the team effective agent workflows, and you know when not to trust the output.

Job requirements

We care less about years of experience and more about what you've shipped, owned, and learned.

Must have

• Product ownership. You've shipped and owned a product or major features in production, end-to-end. When the path isn't clear, you find one.

• Strong architectural experience. You build software that stays easy to change and maintain as it grows, and you can explain the trade-o