To support the development of AI-native platforms, the Full-Stack AI Engineer will design and deploy end-to-end AI solutions, collaborating with cross-functional teams in a hybrid or remote work environment.
Key responsibilities
Design, build, and deploy AI systems across the full intelligence stack
Develop agent pipelines and orchestration frameworks for LLM-driven workflows
Collaborate with PMs, engineers, and data scientists to define requirements and deliver solutions
Required qualifications
Experience building production-grade AI systems or AI-powered applications
Strong proficiency in Python
Experience working with LLMs, prompt engineering, or agent-based architectures
Familiarity with modern GenAI tooling and frameworks
Ability to integrate AI capabilities across backend services and product interfaces