Tech Lead – AI Engineering

📋 Description

• Technical Architecture: Lead architectural decisions across the platform, document the rationale
• Engineering Leadership: Guide the development squad by establishing coding standards, conducting
• Hands-On Development: Actively contribute to implementation, working alongside the team to develop
• AI-Assisted Engineering Strategy: Define how the team uses AI development tools, including tool
• Cloud Infrastructure and Deployment: Define strategies for containerization, deployment
• Integration Management: Serve as the primary technical counterpart for external integration

🎯 Requirements

• Extensive experience in software development, including demonstrated responsibility for technically
• Strong hands-on experience with Java on the backend and React on the frontend, with the ability to
• Practical experience with Docker, containerized applications, deployment processes, and operating
• Deep understanding of relational database modeling, performance optimization, migrations, and data
• Experience with non-relational databases and the ability to evaluate when relational or
• Experience with messaging and event-driven technologies such as RabbitMQ, Amazon SQS, Amazon SNS

🎁 Benefits

• Remote Work: Fully remote working model, offering flexibility in how you organize your work.
• Technical Autonomy: Significant influence over architecture, engineering standards, technical
• Hands-On Leadership: The opportunity to combine technical leadership with direct coding and
• AI Engineering Innovation: A working environment where AI-assisted development is an integral part
• Professional Development: Opportunities to strengthen expertise in cloud architecture, full stack
• Mentorship and Knowledge Sharing: A collaborative culture that encourages pair programming