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

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

• 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