Key Skills

Job Description

This role is open to candidates in US, Europe, Canada and LATAM** About The Role We are building a healthcare-focused AI platform that automates patient engagement through conversational workflows (SMS and voice). At the core is an LLM-powered chatbot that operates as a multi-phase system combining structured data extraction, reasoning, message generation, and system-triggered actions. We are looking for an AI Engineer to build and scale these conversational agents in production. Tech Stack Backend priorities Strong experience needed in: Node.js, Express, TypeScript, PostgreSQL, Redis Familiarity with these is ideal: Prisma (or other ORM experience), tRPC, HIPAA compliance Frontend priorities Strong experience needed in: React, TypeScript, Redux OR Zustand OR other state management libraries Familiarity with these is ideal: Tailwind, AWS Cognito DevOps priorities Strong experience needed in: AWS, Terraform Familiarity with these is ideal: Azure, HIPAA-compliant environments AI priorities Strong experience with: building LLM-based features, AI chatbots, and conversational agents Experience with: multi-step or agentic workflows, prompt design, structured outputs Chatbot Architecture Context 4-phase workflow: analysis, decisioning, message composition, system execution Redis and BullMQ for async job orchestration Vitest used for testing and evals Handlebars used for prompt and message templating Telemetry used to continuously improve system performance What You’ll Do Build and improve LLM-driven conversational agents Design prompt strategies and decision logic Integrate AI with backend systems, queues, and APIs Handle complex edge cases across conversation flows Optimize performance, reliability, and cost of AI systems Use telemetry and testing feedback to improve outputs What We’re Looking For Mid to senior level, senior preferred Strong experience building AI chatbots or LLM-based systems Strong backend engineering experience Ability to work independently and take ownership Strong English communication skills (written and verbal), required Engagement Details Type: Full-time Duration: Long-term 6 month contract (initial) Location: Remote Collaboration: Must overlap at least 5 hours with U.S. Pacific time

Core Responsibilities

Build and improve LLM-driven conversational agents, including prompt strategies, decision logic, and integrations with backend systems, queues, and APIs. Handle complex conversation-flow edge cases and use telemetry and testing feedback to improve system performance, reliability, and cost.

Requirements

The role seeks a mid-to-senior engineer, with senior candidates preferred, who has strong experience building AI chatbots or LLM-based systems and strong backend engineering skills. Candidates should be able to work independently, take ownership, communicate fluently in written and spoken English, and overlap at least five hours with U.S. Pacific time.