Remote Generative AI Engineer: RAG & Chatbot Specialist

emerge.haus; United States; Remote; USD 90,000 - 165,000; Part time

Job summary

emerge.haus seeks a hands-on, remote contract engineer to build tailored generative AI solutions for diverse client needs—from feasibility to production deployment. You will blend engineering with client consulting, deliver reusable tooling, and drive cross-team integration.

You will design AI assistants and chatbots, implement RAG workflows, and continuously improve models for scale and performance, while documenting solutions for clients and internal teams.

Qualifications

• Extensive hands-on experience with generative AI and large language models.
• Demonstrated success building RAG systems and AI assistants or chatbots.
• Strong grasp of AI evaluation methods, metrics, and advanced prompt engineering.
• Proficiency with Node.js and TypeScript, plus Python experience for AI and machine learning work.
• Solid understanding of web technologies and application architecture.

Responsibilities

• Assess AI use cases, recommend technical approaches, and develop proof-of-concept applications.
• Design and implement generative AI systems, including assistants, chatbots, and retrieval-augmented generation workflows.
• Improve models and applications for production scale and performance, and integrate them with existing systems.
• Explain implementations through technical documentation, presentations, and client discussions.
• Review code, guide junior colleagues, and contribute reusable components and internal tools.
• Track developments in AI and evaluate their relevance to client projects.

Skills

Generative AI

LLMs

RAG systems

AI evaluation

Prompt engineering

Web technologies

AI consulting

Tools

Node.js

TypeScript

Python

Job description

emerge.haus seeks a hands-on, remote contract engineer to build tailored generative AI solutions for diverse client needs—from feasibility to production deployment. You will blend engineering with client consulting, deliver reusable tooling, and drive cross-team integration.

You will design AI assistants and chatbots, implement RAG workflows, and continuously improve models for scale and performance, while documenting solutions for clients and internal teams.