AI Engineer
Summary
Develops AI agents and LLM-based services to enhance trading systems within a bank's Financial Markets division, focusing on RAG pipelines, agent workflows, and financial domain integration.
Project description
We are the core technology team within the bank's Financial Markets division, responsible for developing and intelligently upgrading trading business related systems. The team is embedding AI Agent capabilities into the trade processing pipeline.
Responsibilities
- AI Application Development: - Design and develop LLM-based services, delivering intelligent Q&A, SDLC, and agent capabilities for trading systems - Build AI Agent workflows with multi-turn conversation, tool-calling, and autonomous decision-making, applied to financial business development scenarios RAG & Knowledge Base: - Build and optimize Retrieval-Augmented Generation (RAG) pipelines, structuring financial domain knowledge — business rule documents, interface specifications, historical BAU patterns — into a queryable knowledge base - Design vector retrieval strategies, query rewriting, and re-ranking algorithms with continuous iteration Toolchain & Integration: - Develop MCP Servers exposing code search, database query, and document retrieval tools to agents, integrated with internal enterprise systems - Optimize prompt engineering and build Eval frameworks to quantify agent accuracy and execution quality in financial business scenarios Performance & Engineering: - Monitor inference latency, token cost, and system stability to ensure high availability in production - Track LLM and Agent frontier developments, exploring innovative applications in financial markets contexts
SKILLS
Must have
- Must Have: - Bachelor's degree or above in Computer Science, AI, Mathematics, or related field - 3+ years of AI application or LLM project development experience - Proficient in Python, Java, or JavaScript with strong coding standards and system design skills - Hands-on experience with mainstream AI frameworks - Proven AI Agent delivery experience; familiarity with ReAct, Chain-of-Thought, and related techniques - Familiar with microservices, RESTful APIs, and distributed systems; Docker/Kubernetes experience a plus Soft Skills: - Strong passion for AI technology; able to independently break down and deliver against ambiguous requirements - Good English reading and writing skills; comfortable with technical documentation and research papers - Effective collaborator across product, business, and algorithm teams
Nice to have
- Background in banking, brokerage, or fintech - Experience with MCP (Model Context Protocol) or AI coding agent toolchain development - Open-source AI contributions or published technical articles