AI Engineer - Full stack (Conversational Systems) LATAM, Europe, North America

BraintrustSan Francisco, CA🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

This remote AI Engineer role offers a unique opportunity to build and scale cutting-edge conversational AI systems within the healthcare sector, leveraging your full-stack expertise. You'll thrive here if you're a mid-senior engineer with strong experience in Node.js, React, and LLM-based conversational agents, eager to make a significant impact in a growing field. Apply now to join this innovative team and shape the future of patient engagement!

Quick Overview

Seniority

Mid Senior

Work mode

Remote

Location

San Francisco, CA, United States

Posted

Yesterday

ExpressNode.jsAWSAzureHIPAALLMPostgreSQLPrismaReactRedisReduxTerraformTypeScriptVitestZustand

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