We are seeking a product-oriented Full-Stack / AI Engineer to build and scale AI-driven execution systems. This role is ideal for someone who thrives in fast-paced startup environments and has hands-on experience developing with LLMs, RAG systems, and AI agent frameworks.
You will work closely with founders and cross-functional teams to design and deliver end-to-end solutions that enable autonomous workflows across multiple platforms. This is an AI-native role, requiring both strong engineering fundamentals and a deep understanding of modern AI systems.
Key Responsibilities
Design and implement AI agents capable of autonomously executing workflows across platforms such as Slack, email, and CRM systems
Build and maintain integrations between internal and external tools to enable seamless multi-system orchestration
Develop and optimize LLM-based systems, improving performance in terms of quality, latency, and cost
Architect reliable systems with monitoring, evaluation, and fallback mechanisms to ensure consistent execution
Build intuitive and high-impact user interfaces using React to provide visibility into AI-driven processes
Collaborate across backend and frontend to deliver end-to-end product features from design to deployment
Develop automated testing frameworks, including end-to-end and regression tests
Implement evaluation systems for AI outputs using tools such as LangChain or similar frameworks
Requisitos
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) systems
- AI agent frameworks
- AI platform or product development