Luupli Ltd is looking for an AI Engineer to play a pivotal role in developing the intelligent systems that power our AI features. You will build and orchestrate agentic workflows, working on RAG pipelines, multi-agent LLM orchestration, and integrations that drive product capabilities like auto-captioning and content moderation. This is a full-stack AI role spanning from backend APIs to product-facing features within a company committed to using social media as a force for good.
What You'll Do
- 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 like FAISS, Pinecone, or Weaviate.
- Integrate both 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 Google Cloud Platform using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub.
- Embed AI into platform features such as auto-captioning, generative media, feed personalization, and real-time moderation.
- Maintain modular, testable, observable, and secure code across the AI system lifecycle.
What We're Looking For
- 3+ years experience in applied AI/ML engineering with production-level deployments.
- Strong Python development skills with full-stack AI engineering experience: FastAPI, Streamlit, LangGraph/LangChain, PyTorch/Transformers, and FAISS/Weaviate/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; especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub.
- Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, and monitoring.
- Degree in Computer Science, Engineering, or a related field.
- Experience with machine learning, deep learning, NLP, and computer vision.
- Proficiency in Python, Java, and R.
- Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
- Excellent problem-solving skills and ability to work in a team environment.
Nice to Have
- Experience with Google’s Agent Development Kit or similar agent ecosystems.
- Familiarity with multimodal AI 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 like Sentry, OpenTelemetry, or Datadog.
- Data engineering experience, such as building ETL/ELT pipelines, working with event-based ingestion and structured logs, using tools like BigQuery, Airflow, or dbt, or designing feature stores for AI/ML applications.
Technical Stack
- Frameworks & Tools: LangGraph, LangChain, Google’s Agent Development Kit, FastAPI, Streamlit, PyTorch, Transformers, FAISS, Pinecone, Weaviate, TensorFlow, BigQuery, Airflow, dbt.
- Models: OpenAI, Gemini, Claude, Ollama, Mistral, LLaMA.
- Cloud Platform: Google Cloud Platform, Vertex AI, Cloud Run, Cloud Functions, IAM, Pub/Sub.
- Languages: Python, Java, R.
Luupli Ltd is an equal opportunity employer.
