2027 Fresh Grad Hire - AI Agent Engineer

About Us

Futu's AI team is dedicated to integrating artificial intelligence into financial services to build more efficient and intelligent products and services.

The team covers core areas including quantitative research, robo-advisory, search and recommendation systems, Q&A, content generation, and AI platform development.

We are looking for talents who are passionate about AI and innovation to join us in exploring the future of AI + Finance.

Job Responsibilities

Participate in the design, development, testing, and optimization of AI Agent systems. Implement core Agent capabilities based on large language models, including task planning, tool calling, knowledge retrieval, and memory management.

Participate in the development and application of capabilities such as RAG, knowledge bases, Function Calling, MCP, and workflow orchestration.

Assist in integrating databases, internal enterprise systems, and third-party APIs to drive the deployment of AI Agents in real-world business scenarios.

Participate in Agent performance evaluation and optimization to improve task completion quality, response efficiency, and system stability.

Participate in the development and optimization of modules including prompts, context management, model invocation, and exception handling.

Learn about and keep up with technologies related to large language models and AI Agents, and participate in the validation and application of new technologies.

Qualifications

Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

Solid programming fundamentals; familiarity with Python; understanding of common data structures, algorithms, and backend development basics.

Interest in areas such as large language models, RAG, and AI Agents, with some hands-on learning or project experience.

Familiarity with one or more frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen is preferred.

Familiarity with related technologies such as Embeddings, vector databases, and document retrieval is preferred.

Familiarity with common development tools such as Git and Linux; understanding of Docker, databases, and caching technologies is preferred.

Strong learning ability, systems thinking, and problem analysis and resolution skills; a strong sense of responsibility and self-motivation; good communication and collaboration skills.

Experience with large model applications, Agents, RAG, open-source projects, coursework projects, or related internships is preferred.

Open to candidates graduating between January 2026 and August 2027.