Senior AI Node.js Engineer — Remote & Flexible Hours

Tooploox; Town of Poland (NY); On-site; USD 110,000 - 170,000; Full time

Job summary

Tooploox is seeking an AI Engineer with full-stack experience to design and build AI Agentic solutions. You will work across the software lifecycle, owning backend tasks while contributing to frontend work and staying ahead of AI trends.

Collaboration with clients and cross-functional teams is essential as you implement scalable features using Node.js, TypeScript, and modern LLM tools. The role emphasizes learning, experimentation, and integration of new AI knowledge, including RAG concepts,

Qualifications

• Experience in full-stack development using Node.js with TypeScript.
• At least 1 year in an AI Engineering role.
• Versatile across backend and frontend tasks.
• Strong knowledge of AI/Agentic technologies and architecture.
• Open to client collaboration with clear communication.

Responsibilities

• Collaborate with cross-functional teams to design and build AI Agentic solutions.
• Define technical requirements and implement features across the software lifecycle.
• Take ownership of tasks and deliver maintainable code.
• Manage backend tasks while contributing to frontend development.
• Stay informed about AI trends and integrate new knowledge.
• Apply evaluation-driven approach to adopting AI solutions.

Skills

Node.js

TypeScript

AI Engineering

Backend

Frontend

Continuous learning

RAG

Multi-Agents

MCP Servers

LLM APIs

LangChain

LlamaIndex

Prompt Design

AWS

Azure

GCP

CI/CD

REST API

Database

English fluency

Job description

Tooploox is seeking an AI Engineer with full-stack experience to design and build AI Agentic solutions. You will work across the software lifecycle, owning backend tasks while contributing to frontend work and staying ahead of AI trends.

Collaboration with clients and cross-functional teams is essential as you implement scalable features using Node.js, TypeScript, and modern LLM tools. The role emphasizes learning, experimentation, and integration of new AI knowledge, including RAG concepts,