AI Application Development Engineer

Job Responsibilities

• Design, develop, test, and enhance enterprise AI applications and AI-enabled product capabilities.
• Build solutions involving LLMs, RAG, AI Agents, prompt engineering, tool/function calling, vector/embedding search, and AI workflow orchestration.
• Develop backend services, APIs, data integrations, and other components required to connect AI capabilities with enterprise systems.
• Participate in AI evaluation, testing, debugging, and performance improvement to continuously improve solution quality, reliability, latency, and user experience.
• Work with product managers, architects, business stakeholders, and engineering teams to understand business problems and translate requirements into practical technical solutions.
• Participate in requirement discussions, solution design, technical reviews, demos, UAT support, and production deployment.
• Prototype and evaluate new AI technologies and quickly determine their feasibility for real business scenarios.
• Troubleshoot technical and production issues and continuously improve application stability and engineering quality.
• Develop a strong understanding of business processes and user journeys rather than focusing only on individual technical tasks.
• Gradually take greater ownership of solutions from problem definition and prototyping through implementation and delivery.
• For candidates demonstrating strong technical and communication capabilities, gradually develop toward an FDE role, directly partnering with stakeholders to explore problems, prototype solutions, and drive AI use cases from concept to production.

Basic Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field.
• Recent graduate or early-career candidate with strong academic, internship, research, or project experience.
• Strong programming fundamentals, with hands-on experience in Python.
• Hands-on project, research, or internship experience in at least one AI-related area such as:
• Large Language Models (LLMs)
• Generative AI applications
• RAG
• AI Agents
• AI chatbot / conversational AI
• NLP
• Machine Learning
• Embedding / vector search
• Tool / Function Calling
• AI automation
• Ability to clearly explain the architecture, implementation, challenges, and results of AI or software projects you have personally worked on.
• Good understanding of software engineering fundamentals, including APIs, databases, debugging, source control, and software development lifecycle.
• Strong learning ability and curiosity about new AI technologies.
• Strong problem-solving skills and willingness to work through ambiguous problems.
• Good verbal and written communication skills, with the ability to collaborate with both technical and non-technical stakeholders.
• Strong ownership mindset and willingness to learn business processes in addition to technology.
• Ability to work effectively in a global, cross-functional engineering environment.

Preferred Qualifications:

• Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
• Internship or project experience building production-oriented LLM or Generative AI applications.
• Experience with frameworks or technologies such as LangChain, LangGraph, AutoGen, Hugging Face, PyTorch, or similar AI development frameworks.
• Experience with RAG pipelines, vector databases, embeddings, Agent workflows, or tool/function calling.
• Experience with backend development using Python frameworks such as FastAPI or Flask.
• Familiarity with relational databases, SQL, REST APIs, cloud platforms, Docker, or Kubernetes.
• Experience developing and evaluating AI prototypes and converting prototypes into usable applications.
• Exposure to LLM evaluation, prompt evaluation, test datasets, or AI observability is a plus.
• Experience working directly with users, customers, product teams, or business stakeholders through internships, university projects, startup experience, or other activities.
• Demonstrated ability to independently explore an unfamiliar problem, quickly build a prototype, collect feedback, and iterate on the solution.
• Interest and potential to grow toward a Forward Deployed Engineer (FDE) role combining engineering, product thinking, business understanding, and stakeholder engagement.
• Mandarin Chinese communication skills are a plus due to frequent collaboration with China-based engineering teams.