Binance Accelerator Program -AI Agent Observability Engineer

• Contribute to backend and full-stack feature development, testing, and releases for core products and platforms, delivering production-ready code.
• Collaborate with senior engineers on module design, API and interface definitions, system integration, deployment, logging, monitoring, and performance optimization.
• Develop and maintain automated tests and CI/CD configurations to improve engineering efficiency, reliability, and code quality.
• Support the deployment of AI and LLM capabilities based on business requirements, including LLM API integrations, basic RAG pipelines, and agent or tool capabilities within existing systems.
• Help create and maintain datasets and benchmarks used for AI evaluation, regression testing, and quality measurement.
• Track online AI performance and assist with diagnosing, debugging, and resolving issues affecting deployed systems.
• Contribute to observability initiatives covering logging, monitoring, performance, and system health.
• Prepare technical documentation and communicate implementation details, findings, and progress effectively across teams.
• Participate in engineering best practices around version control, testing, debugging, deployment, and maintainable software development.
• Take ownership of assigned work, learn quickly, and contribute proactively to technical and product objectives.

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
• Strong software engineering fundamentals, including data structures and algorithms, object-oriented design, common design patterns, and coding best practices.
• Proficiency in Python is required, along with experience in at least one primary programming language. Java, Go, TypeScript, or JavaScript experience is a plus.
• Familiarity with Git, Linux fundamentals, debugging, unit and integration testing, RESTful APIs, and SQL or NoSQL databases.
• Some practical experience with AI/LLM projects or internships is sufficient; deep research experience is not required.
• Exposure to prompt engineering, function calling, RAG, vector databases, or frameworks such as LangChain or LangGraph is advantageous.
• Strong ownership mindset, analytical thinking, and willingness to learn new technologies quickly.
• Excellent communication and collaboration skills, with the ability to work effectively with senior engineers and cross-functional teams.
• Ability to commit to at least 6 months, 5 days per week.
• Experience shipping web or backend services is a plus, particularly with caching, message queues, concurrency, or performance tuning.
• Familiarity with Docker, Kubernetes, AWS, GCP, Azure, Prometheus, Grafana, or ELK is beneficial.
• Exposure to LLM evaluation, prompt iteration, data feedback loops, or basic fine-tuning workflows is an advantage.

Benefits

• 3–6 month accelerator/internship opportunity designed for current university students and recent graduates.
• Hands-on experience within a leading global blockchain and digital-assets ecosystem.
• Opportunity to work on innovative AI, LLM, agent, backend, and observability projects.
• Collaboration with experienced engineers and high-caliber global talent.
• Exposure to real-world production systems, engineering workflows, and modern AI technologies.
• Opportunities for networking, professional development, continuous learning, and career growth.
• Fast-paced, innovative environment with meaningful technical challenges and opportunities for autonomy.
• Competitive salary and company benefits, subject to applicable employment terms and local regulations.
• Work-from-home arrangement, depending on the nature and requirements of the business team.
• Inclusive and diverse working environment focused on equal opportunity.