AI Engineer

Job Responsibilities

• Build systems that integrate LLMs, optimization solvers, data processing, code execution, and user-facing workflows.
• Develop backend services, APIs, task execution modules, data pipelines, and system components.
• Build frontend interfaces, demos, dashboards, and interactive workflows for users.
• Implement LLM-based workflows for problem understanding, code generation, debugging, result explanation, and user interaction.
• Integrate optimization tools and solvers such as Gurobi, CPLEX, Pyomo, OR-Tools, CVXPY,or related frameworks.
• Build safe and controllable environments for generated code execution, testing, and validation.
• Support end-to-end product development, from requirement understanding and technical design to implementation, testing, deployment, and iteration.
• Improve system reliability, usability, maintainability, scalability, and performance.
• Work closely with research and business teams to translate technical ideas into products.

Job Requirements

• Bachelor’s degree or Master’s degree in Computer Science, AI or a related field.
• Strong software engineering skills and hands-on development experience.
• Strong programming ability.
• Experience with backend development, API design, databases, asynchronous tasks, testing, debugging, and deployment.
• Familiarity with tools such as FastAPI, Flask, Django, Node.js, React, TypeScript, PostgreSQL, MongoDB, Redis, Docker, Kubernetes, cloud services, or CI/CD tools is a plus.
• Experience with LLM tools and AI-assisted coding tools such as ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, LangChain, LlamaIndex, OpenAI API, Anthropic API, or related tools.
• Ability to use LLMs in the loop for coding, debugging, testing, refactoring, documentation, and rapid prototyping.
• Experience with optimization, operations research, data analytics, or machine learning engineering is a plus.