AI Native Full-stack Engineer
Aerones
- Rīga
- Pastāvīgs
- Pilna laika
- Full Agentic Delivery: Drive end-to-end delivery workflows using AI coding agents as your primary development method. Clarify requirements, define acceptance criteria, execute via agents, validate via tests, and finalize for review/merge.
- Full-stack Development: Build and maintain features across Django REST APIs, PostgreSQL data models, and React UI components for our Service Delivery platforms.
- Context Engineering: Own the “knowledge layer” that makes AI agents effective in our codebase - create CLAUDE.md files, system prompts, and context documentation that teach agents about our architecture and business rules.
- Delivery Acceleration: Ship production features using AI-augmented workflows. Refactor, migrate, and modernize existing codebases with agent assistance. Automate routine engineering tasks.
- Team Enablement: Transfer AI-native development practices to teammates through demonstration, mentoring, shared prompt libraries, and reusable tooling.
- Quality Ownership: Ensure changes are verified, not just generated - tests passing, edge cases considered, code review-ready. Never merge code you don’t understand.
- Documentation: Document AI-driven development patterns, agent workflows, and engineering standards for knowledge sharing.
- AI Tool Proficiency: Demonstrated daily use of Claude Code, Cursor, Codex, or equivalent autonomous coding agents in production work. Understanding of agentic workflow patterns: task decomposition, parallel execution, human-in-the-loop verification.
- Full-stack Experience: Strong experience with Django (Python) and PostgreSQL (REST APIs, ORM, migrations, complex queries). Solid React/frontend skills - ability to read, review, and build UI components, even when AI writes most of the code.
- Working Style: Delegate, Review, Own mentality - you hand off implementation to agents, spend the majority of time reviewing (not writing) code, and take full responsibility for outcomes.
- Engineering Foundation: Understanding of software architecture, testing practices, code quality standards, version control workflows, and CI/CD pipelines.
- Collaboration Skills: Ability to work collaboratively across diverse teams, transfer AI-native practices, and communicate technical concepts to both technical and non-technical stakeholders.
- Continuous Learning: Demonstrated commitment to staying ahead of AI-assisted development trends and tooling evolution.
- Experience with GCP infrastructure and cloud platform services
- Experience building AI-powered product features (LLM APIs, embeddings, RAG
- Track record of transitioning teams from traditional to AI-augmented development
- Familiarity with wind energy, robotics, or industrial IoT domains
- Salary from 5,000 EUR to 8,500 EUR per month (before Taxes)
- A Birthday Gift
- Health Insurance
- Health Recovery Days (which can be taken as you need)
- Paid Study Leave
- Funding for the purchase of Vision Glasses after one (1) year of service