AI Engineer (Application Design & Rapid Deployment)

AI Engineer (Application Design & Rapid Deployment)Role Overview
As an AI Engineer, you will serve as one of our "Tiger Team" engineers: a highly versatile, full-stack application specialist who designs, builds, and deploys high-impact AI applications from end to end. You excel at taking a vague business problem and turning it into a production-ready AI solution in record time. Leveraging expertise in advanced orchestration frameworks like LangGraph and cutting-edge developer tools like Claude Code, you will act as the primary designer of our user-facing AI applications.
Beyond execution, you will play a vital role as an organizational enabler. You will build the evaluation systems necessary to guarantee model performance, integrate AI capabilities into workflows safely and effectively.
Key Responsibilities
AI Application Design & Rapid Execution
End-to-End Application Design: Serve as designer and builder for new AI applications, mapping out how the user interface, backend logic, and AI agents interact.
Advanced Agentic Workflows: Build complex, stateful, multi-agent systems and cyclic workflows using LangGraph inside and out to handle sophisticated enterprise use cases.
Rapid Prototyping: Utilize full-stack capabilities and AI-assisted development tools (e.g., Claude Code) to build high-fidelity minimum viable products (MVPs) at an accelerated pace.
Evaluation & Quality Assurance
LLM Evaluation Tools: Design, build, and maintain automated testing and evaluation frameworks (e.g., Ragas, TruLens, or custom LLM-as-a-judge pipelines) to measure accuracy, latency, hallucinations, and regression across applications.
Framework Stress-Testing: Act as power-user of our internal AI Development Framework, enabling its capabilities in real-world scenarios and providing direct feedback to the core architecture team.