Applied AI Agent – AI Productivity Engineer

🔥 7 minutes ago

🌐 Singapore, Australia, +4 more countries – Remote

🇸🇬 Singapore – Remote 🇦🇺 Australia – Remote 🇭🇰 Hong Kong – Remote 🇲🇾 Malaysia – Remote 🇳🇿 New Zealand – Remote 🇹🇼 Taiwan – Remote

⏰ Full Time

🟢 Junior

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 66 days.
• No salary listed.

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• 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 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 • 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 • Own projects end-to-end from problem definition and technical design through 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

🏖️ Benefits

• 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)

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