[Hiring] AI Engineer @Luupli

Role Description

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. Your work will span Retrieval-Augmented Generation (RAG), multi-agent LLM orchestration, auto-captioning, generative media, and content moderation.

You’ll use frameworks like LangGraph, LangChain, and Google’s Agent Development Kit to build persistent, scalable AI services on Google Cloud Platform (GCP). This is a full-stack AI role that spans intelligent backend APIs, LLM agent orchestration, and integration with product-facing features.

Responsibilities

• 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.

Qualifications

• 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only).
• Strong Python development skills with full-stack AI engineering experience:
• FastAPI, Streamlit
• LangGraph, LangChain, or similar
• PyTorch, Transformers
• FAISS, Weaviate, or Pinecone
• 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.

Nice to Have

• Experience with Google’s Agent Development Kit or similar agent ecosystems.
• Familiarity with multimodal AI (e.g., handling text, image, audio, or video content).
• Prior experience developing creator platforms, content recommendation engines, or social media analytics.
• Understanding of ethical AI principles, data privacy, and bias mitigation.
• Experience with observability tools (e.g., Sentry, OpenTelemetry, Datadog).
• Data engineering experience, such as:
• Building ETL/ELT pipelines
• Working with event-based ingestion and structured logs (e.g., user sessions, reactions, feeds)
• Using tools like BigQuery, Airflow, or dbt
• Designing or consuming feature stores for AI/ML applications

Compensation

Equity-Only, Purpose-Driven. At Luupli, we believe in building something extraordinary together. This role is equity-only at this stage, meaning you’re not just working for Luupli, you’re building it with us. If you’re driven by impact, excited to shape the future of social media, and ready to share in the upside of what we’re creating, this is your chance to be part of the founding story.

Notice to Recruitment Agencies

Luupli does not accept unsolicited CVs or candidate profiles from recruitment agencies. We do not enter into contracts or pay fees for candidates submitted without a prior written agreement in place. Please note that any CVs received in this manner will be considered the property of Luupli, and no fees will be payable.