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

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.

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams.

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