ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 28 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
AI Productivity Engineer (Web3)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
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 worldβs 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
- Bachelorβs 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)
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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