Remote Software engineering Jobs β€’ LLM APIs

4 results

Job listings

AI Productivity Solutions Engineer

Upwork πŸŒπŸ€πŸ’‘

Shape the future of work by developing AI-powered applications and services that help our teams work smarter, faster, and more effectively. You will design and build server-side services, integrations, and user-facing applications that embed AI capabilities into the tools and workflows that power our business. Also architect data pipelines, apply modern security practices, and experiment with emerging AI technologies to unlock new possibilities.

GTM Engineer

1Password πŸ”‘πŸŒŽπŸ€
$145,000–$196,000
USD/year

This is a hands-on, cross-functional role for someone who is excited by the opportunity to bring engineering rigor to RevOps. The GTM Engineer will work closely with operations, systems, and analytics teams to turn ideas into scalable solutions that drive revenue efficiency and intelligence. The person thrives at the intersection of business problems, data, and code to prototype new ideas, thinking how solutions will scale, integrate, and handle failure.

Senior AI Engineer

N8n πŸ€–πŸ’‘πŸ”—
Europe 3w PTO

As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations by building AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive, and improve existing AI integrations. You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience.

Lead Engineer - Workflows AI Delhi Dev

HighLevel πŸš€πŸ’‘πŸ“ˆ

We’re looking for a lead-level engineer to own and drive Gen AI initiatives for Workflows designing, building, and scaling AI-powered workflow automation features end-to-end. You’ll integrate and orchestrate LLMs, design RAG pipelines with vector DBs, and implement agentic AI workflows using LangChain, LangGraph, and AutoGen. You’ll lead the technical strategy for AI in workflows from prompt engineering and fine-tuning to EVAL frameworks that ensure performance, accuracy, and reliability.