The World’s Leading Blockchain Ecosystem and Digital Asset Exchange
Applied AI Application Engineer
Location
Singapore
Posted
45 days ago
Salary
0
Seniority
Senior
Job Description
Applied AI Application Engineer
Binance
• Support the design and development of AI agent workflows and LLM-powered application components • Build and test prompt strategies, retrieval flows, tool-use logic, orchestration patterns, and backend integrations • Assist in defining evaluation metrics, running benchmarks, and analyzing failure cases • Improve system performance across quality, latency, reliability, safety, and cost • Use AI coding tools as a normal part of your workflow to accelerate development and problem-solving • Collaborate with engineers and cross-functional teams to understand how production AI systems are designed, deployed, and improved • Contribute to backend services, APIs, internal tools, or lightweight user interfaces when needed
Job Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field
- Expected graduation in 2026 or 2027
- Solid programming skills in Python or Java; familiarity with backend engineering is preferred
- Good problem-solving ability and comfort working with APIs, debugging, and data
- Strong curiosity about LLMs, AI agents, automation, and real-world system design
- Ability to break down ambiguous problems and move from idea to working prototype
- Comfortable learning quickly and working in a fast-moving environment
- Available for a 6-month full-time commitment
- Bonus Points**
- Personal projects or coursework involving LLM applications, agent systems, automation, or AI-assisted development
- Familiarity with OpenAI APIs, Anthropic APIs, Hugging Face, LangChain, vector databases, or workflow tools
- Experience with Git, databases, backend services, or cloud platforms
Benefits
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
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