Role in brief
Binance is hiring a junior AI Engineer to develop internal AI productivity tools. This role involves building LLM-powered applications and integrating AI into the software development lifecycle to improve engineering efficiency. Candidates with strong programming skills and a foundational understanding of LLMs, eager to apply AI in a blockchain environment, should consider applying.
About the role
This role focuses on designing and building AI-powered productivity tools for internal use at Binance. The work involves creating coding assistants, knowledge retrieval systems, and workflow automation tools. A key part of the job is developing applications powered by large language models (LLMs) for tasks like code generation and understanding, and integrating these AI capabilities throughout the software development lifecycle.
The AI Engineer will collaborate with various engineering teams to identify bottlenecks and deliver AI-driven solutions. This includes experimenting with techniques such as Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI Agents. Success in this position means continuously evaluating and adopting new AI technologies to enhance internal platforms and improve overall engineering quality and efficiency.
The ideal candidate will have a proactive, ownership-driven mindset and strong problem-solving skills. This is a junior-level position within Binance's Pioneer Talent Program, offering the chance to work in a dynamic blockchain environment. The role emphasizes continuous learning and contributing to an inclusive financial ecosystem through innovative AI applications.
The annual salary for this position ranges from $180,000 to $218,900 USD.
Skills that matter here
- Python: This role requires strong programming skills in Python, Java, Go, or JavaScript to develop AI productivity tools and LLM-powered applications.
- Java: This role requires strong programming skills in Python, Java, Go, or JavaScript to develop AI productivity tools and LLM-powered applications.
- Go: This role requires strong programming skills in Python, Java, Go, or JavaScript to develop AI productivity tools and LLM-powered applications.
- JavaScript: This role requires strong programming skills in Python, Java, Go, or JavaScript to develop AI productivity tools and LLM-powered applications.
- Prompt Engineering: The engineer will experiment with and implement techniques like Prompt Engineering to enhance internal AI platforms.
- RAG: The role involves experimenting with and implementing RAG (Retrieval-Augmented Generation) to develop advanced AI solutions.
Who this role suits
- A person who thrives on solving engineering challenges through innovative AI solutions.
- Someone with a foundational understanding of large language models and their practical applications.
- An individual who is proactive, takes ownership of their work, and is eager to continuously learn and adopt new AI technologies.
- A candidate who enjoys collaborating with various teams to identify needs and deliver impactful solutions.
From the employer
- Design and build internal AI productivity tools (e.g., coding assistants, knowledge retrieval systems, workflow automation tools)
- Develop LLM-powered applications for engineering use cases such as code generation, code understanding, and test generation
- Integrate AI capabilities into the end-to-end software development lifecycle (from requirements to deployment)
- Partner with engineering teams to identify bottlenecks and deliver AI-driven solutions
- Experiment with and implement techniques such as Prompt Engineering, RAG (Retrieval-Augmented Generation), and AI Agents
- Continuously evaluate and adopt emerging AI technologies to enhance internal platforms
- Bachelor’s degree or above in Computer Science or a related field
- Strong programming skills in at least one language (e.g., Python, Java, Go, JavaScript)
- Solid understanding of data structures and algorithms
- Basic understanding of large language models (LLMs) and their practical applications
- Experience using AI tools such as ChatGPT, Copilot, or similar
- Familiarity with backend or web development fundamentals
- Understanding of APIs and system integration
- Strong problem-solving skills and a proactive, ownership-driven mindset
- Good communication and collaboration skills
Nice to have:
- Hands-on experience with Prompt Engineering, RAG, or AI Agents
- Experience building AI tools, developer tools, or internal platforms
- Exposure to DevOps, CI/CD, or engineering automation
- Experience with knowledge systems, search systems, or documentation platforms
- Contributions to open-source projects or active GitHub portfolio
- Shape the future with the world’s leading blockchain ecosystem
- Collaborate with world-class talent in a user-centric global organization with a flat structure
- Tackle unique, fast-paced projects with autonomy in an innovative environment
- Thrive in a results-driven workplace with opportunities for career growth and continuous learning
- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Questions about this role
What is the remote work policy for this position?
This position offers a work-from-home arrangement, though the specific details may vary depending on the business team's needs.
What level of seniority is this role?
This is a junior-level position within Binance's Pioneer Talent Program.
What programming skills are required?
Candidates need strong programming skills in at least one language, such as Python, Java, Go, or JavaScript.