Pioneer Talent Program - AI-powered Productivity Platform Engineer

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 230 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Pioneer Talent Program Are you an early-career professional ready to kickstart your career in the dynamic world of blockchain? Binance’s Pioneer Talent Program is designed to nurture ambitious individuals like you. The program offers full-time roles where participants will gain hands-on expertise via a tailored training curriculum and personalized 1:1 mentorship from industry leaders. Dive behind the scenes of the world’s leading blockchain ecosystem while building the skills to thrive in Web3. Launch your career with purpose—join us in shaping the future of digital innovation.  
Who May ApplyCandidates with up to 5 years of relevant work experience

About the Role

As AI capabilities rapidly evolve, we are building a unified AI-powered productivity platform to transform how engineering work gets done across the organization.

In this role, you will design and deliver AI tools, systems, and workflows that augment developers, streamline processes, and significantly boost engineering efficiency and quality. You will work at the intersection of AI and software engineering, turning cutting-edge AI capabilities into practical, high-impact internal solutions.

Responsibilities

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

Requirements

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

Strong backgrounds in ACM ICPC, mathematical modeling, or similar elite algorithmic competitions

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

Why Binance• 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)
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