🛠 Tech Stack

💼 About This Role

You'll design and build internal AI productivity tools for engineers, including coding assistants and workflow automation. You'll integrate AI across the full development lifecycle and embed with teams to remove friction. This role offers hands-on experience with LLMs and mentorship in a leading blockchain ecosystem.

🎯 What You'll Do

• Design and build internal AI productivity tools
• Develop LLM-powered applications for engineering use cases
• Integrate AI across the software development lifecycle
• Experiment with Prompt Engineering, RAG, and AI Agents

📋 Requirements

• Bachelor's degree in Computer Science or related field
• Strong programming skills in Python, Java, Go, or JavaScript
• Solid understanding of data structures and algorithms
• Understanding of large language models and practical application

✨ Nice to Have

• Hands-on experience with Prompt Engineering, RAG, or AI Agents
• Experience building AI tools or developer tools
• Exposure to DevOps, CI/CD, or engineering automation

🎁 Benefits & Perks

• 🏖️ Remote work
• 🏖️ 1:1 mentorship from industry leaders
• 🏖️ Tailored training curriculum
• 🏖️ Full-time role with stability

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 45 min
3. 3Team Fit Interview· 30 min

🚩 Heads Up

• Up to 5 years experience for a mid-level role could be under-leveled