AI Productivity Engineer (Web3)

TL;DR

AI Productivity Engineer (Web3): Design and build internal AI productivity tools such as coding assistants, knowledge retrieval systems, and workflow automation with an accent on LLM-powered applications for code generation, understanding, and test generation. Focus on integrating AI into the software development lifecycle, partnering with engineering teams to solve bottlenecks, and implementing techniques like Prompt Engineering, RAG, and AI Agents.

Location: Remote (Asia)

Company

Leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users.

What you will do

• Design and build internal AI productivity tools like coding assistants, knowledge retrieval systems, and workflow automation tools
• Develop LLM-powered applications for engineering use cases including 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 Prompt Engineering, RAG, and AI Agents
• Continuously evaluate and adopt emerging AI technologies to enhance internal platforms

Requirements

• Bachelor’s degree or above in Computer Science or 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, APIs, and system integration
• Strong problem-solving skills and proactive, ownership-driven mindset
• Good communication and collaboration skills
• Up to 5 years of relevant work experience

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

Culture & Benefits

• Collaborate with world-class talent in a user-centric global organization with flat structure
• Tackle unique, fast-paced projects with autonomy in innovative environment
• Results-driven workplace with career growth and continuous learning opportunities
• Competitive salary and company benefits
• Work-from-home arrangement (may vary by team)