AI Engineer - Remote

Overview

As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features.

In Short

• Build and deploy multi-agent AI workflows using LangGraph, LangChain, or Google’s Agent Development Kit.
• Implement RAG pipelines using embeddings, semantic chunking, and vector databases (e.g., FAISS, Pinecone, Weaviate).
• Integrate hosted and open-source LLMs (OpenAI, Gemini, Claude, Ollama, Mistral) into intelligent systems.
• Build REST APIs with FastAPI and internal tools with Streamlit to expose AI functionality.
• Deploy production-grade services on GCP using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub.
• Embed AI into platform features such as auto-captioning, LuupForge (generative studio), feed personalization, and real-time moderation.
• Maintain modular, testable, observable, and secure code across the AI system lifecycle.

Requirements

• 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only).
• Strong Python development skills with full-stack AI engineering experience.
• Solid experience working with hosted APIs (OpenAI, Gemini) and self-hosted models (Mistral, Ollama, LLaMA).
• Deep understanding of LLM orchestration, agent tool-use, memory sharing, and prompt engineering.
• Hands-on experience with Google Cloud Platform (GCP); especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub.
• Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, monitoring.

Benefits

• This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company.