Ai Engineer - Full Stack (Conversational Systems) Latam, Europe, North America

Braintrust
Badajoz, Spain
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Data Mining DevOps PostgreSQL Node.Js Redis TypeScript Chatbots Tailwind
+10 more
ReactJS Large Language Models Prompt Engineering Generative AI Backend Agentic-AI AI Platforms Front End Software Development React Redux Terraform

Job description

This role is open to candidates in US, Europe, Canada and LATAMAbout The RoleWe 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 StackBackend prioritiesStrong experience needed in: Node.js, Express, TypeScript, PostgreSQL, RedisFamiliarity with these is ideal: Prisma (or other ORM experience), tRPC, HIPAA complianceFrontend prioritiesStrong experience needed in: React, TypeScript, Redux OR Zustand OR other state management librariesFamiliarity with these is ideal: Tailwind, AWS CognitoDevOps prioritiesStrong experience needed in: AWS, TerraformFamiliarity with these is ideal: Azure, HIPAA-compliant environmentsAI prioritiesStrong experience with: building LLM-based features, AI chatbots, and conversational agentsExperience with: multi-step or agentic workflows, prompt design, structured outputsChatbot Architecture Context4-phase workflow: analysis, decisioning, message composition, system executionRedis and BullMQ for async job orchestrationVitest used for testing and evalsHandlebars used for prompt and message templatingTelemetry used to continuously improve system performanceWhat You’ll DoBuild and improve LLM-driven conversational agentsDesign prompt strategies and decision logicIntegrate AI with backend systems, queues, and APIsHandle complex edge cases across conversation flowsOptimize performance, reliability, and cost of AI systemsUse telemetry and testing feedback to improve outputsWhat We’re Looking ForMid to senior level, senior preferredStrong experience building AI chatbots or LLM-based systemsStrong backend engineering experienceAbility to work independently and take ownershipStrong English communication skills (written and verbal), requiredEngagement DetailsType: Full-timeDuration: Long-term 6 month contract (initial)Location: RemoteCollaboration: Must overlap at least 5 hours with U.S. Pacific time#J-***-Ljbffr

Requirements

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, 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

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