Binance

Runs a global cryptocurrency trading exchange

Applied AI Agent/AI Productivity Engineer

AI Application EngineeringUpdated on Nov 13

Full-timeNo salary listed

About the Job

Requirements

A bachelor's degree or above in Computer Science, Data Science, Software Engineering, or a related field.
One to five years of software engineering or applied AI engineering experience.
Proficiency in at least one programming language, such as Python, Java, Go, or JavaScript/TypeScript.
Solid software engineering fundamentals, including API integration, system design, debugging, and testing.
Hands-on experience building or integrating LLM-powered applications.
Practical understanding of one or more of LLM agents, RAG, prompt engineering, MCP/tool calling, context management, or AI evaluation.
Experience with backend, platform, or full-stack development and integrating AI capabilities into production or internal workflows.
A hands-on and proactive approach to problem-solving and learning.
Ability to work closely with engineering teams to understand and solve real-world problems.

Responsibilities

Design and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools, and workflow automation.
Build and integrate LLM-powered applications for engineering use cases, such as code generation, code understanding, testing, and developer workflow automation.
Develop AI agent workflows and supporting infrastructure, including tool calling, context management, memory, evaluation, and workflow orchestration.
Integrate AI capabilities into the software development lifecycle, from requirements and development through testing and deployment, to improve engineering productivity.
Work with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions.
Apply prompt engineering, RAG, AI agents, and MCP/tool calling, and evaluate emerging AI technologies for practical adoption.
Own projects end-to-end, from problem definition and technical design through implementation, deployment, and iteration.

Desired Qualifications

Experience building AI productivity tools, developer tools, internal platforms, or workflow automation systems.
Experience with AI agent frameworks, agent memory, tool orchestration, or multi-agent systems.
Experience integrating LLMs into software development workflows, such as coding, testing, code review, or deployment.
Experience with RAG, knowledge systems, search, or documentation platforms.
Exposure to DevOps, CI/CD, cloud infrastructure, or engineering automation.
Experience with LangChain, Claude Agent SDK, MCP, or similar AI tooling.
Open-source contributions or an active GitHub portfolio.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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, and more. Our mission is to increase the freedom of money and financial access for people around the world.

Responsibilities:

Design and develop AI-powered productivity tools for internal engineering teams, including coding assistants, knowledge retrieval systems, developer tools and workflow automation.
Build and integrate LLM-powered applications for real-world engineering use cases, such as code generation, code understanding, testing and developer workflow automation.
Develop AI Agent workflows and supporting infrastructure, including tool calling, context management, memory, evaluation and workflow orchestration.
Integrate AI capabilities into the software development lifecycle, from requirements and development to testing and deployment, to improve engineering productivity.
Work closely with engineering teams to identify development bottlenecks and translate them into practical AI-driven solutions.
Apply approaches such as Prompt Engineering, RAG, AI Agents and MCP/tool calling, and continuously evaluate emerging AI technologies for practical adoption.
Own projects end-to-end, from problem definition and technical design to implementation, deployment and iteration.

Requirements

Bachelor's degree or above in Computer Science, Data Science, Software Engineering or a related field.
1–5 years of software engineering or applied AI engineering experience.
Proficient in at least one programming language, such as Python, Java, Go or JavaScript/TypeScript.
Solid software engineering fundamentals, including API integration, system design, debugging and testing.
Hands-on experience building or integrating LLM-powered applications.
Practical understanding of one or more of LLM Agents, RAG, Prompt Engineering, MCP/tool calling, context management or AI evaluation.
Experience with backend, platform or full-stack development and integrating AI capabilities into production or internal workflows.
Strong problem-solving and learning ability, with a hands-on and proactive approach.
Good communication and collaboration skills, with the ability to work closely with engineering teams to understand and solve real-world problems.

Bonus Points

Experience building AI productivity tools, developer tools, internal platforms or workflow automation systems.
Experience with AI Agent frameworks, Agent memory, tool orchestration or multi-agent systems.
Experience integrating LLMs into software development workflows, such as coding, testing, code review or deployment.
Experience with RAG, knowledge systems, search or documentation platforms.
Exposure to DevOps, CI/CD, cloud infrastructure or engineering automation.
Experience with LangChain, Claude Agent SDK, MCP or similar AI tooling.
Open-source contributions or an active GitHub portfolio.

Why Binance

Shape the future of finance
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About the Company

Binance

Runs a global cryptocurrency trading exchange

Binance runs a cryptocurrency exchange for individual traders and institutions, with markets for buying digital assets outright and trading contracts tied to their prices. Its platform combines spot trading with margin, futures, and options tools, letting users manage several trading strategies through a single account. Customers also buy crypto using supported payment methods, track market prices, and manage portfolios through its website and mobile app. Binance earns trading fees, with rates based on trading volume, account tier, and the type of transaction, and runs research and education services for people learning about digital assets. The business launched in July 2017.

Company size: 5,001-10,000
Company stage: Growth Equity (Venture Capital)
Total funding: $2B
Headquarters: Decentralised
Founded: 2017

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