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

Braintrust; España; Remote; EUR 80,000 - 134,000; Full time

Job summary

Braintrust is seeking an AI Engineer to build and scale LLM-based conversational agents for a healthcare-focused platform. You will design prompts, decision logic, and integrate AI with backend services, queues, and APIs across a remote environment.

The role requires mid to senior level backend expertise, hands-on chatbot experience, independence, and strong English communication. Remote work with overlap to US Pacific time is expected.

Qualifications

• 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.

Responsibilities

• 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.

Skills

AI chatbot development

Backend engineering

Independent work

English communication

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 templatingTelemetry 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