AI SDLC Engineer
Akvelon
- Location
- Remote (Poland)
- Employment
- Full-time
- Level
- Mid Level
Posted 3 days ago
About the role
Akvelon is seeking an AI-Native Software Development Engineer to transform software design, implementation, and delivery using modern AI coding agents. The role focuses on developing AI-assisted workflows and integrating new technologies to enhance engineering productivity and code quality.
Skills
AI Coding Agents
Software Engineering
CI/CD
Automated Testing
Debugging
Code Quality
Architecture
Refactoring
Code Review
Static Analysis
GitHub Copilot
Cursor
Claude Code
Codex
Perks
- Remote Work
Full job details
We are looking for an AI-Native Software Development Engineer to help transform how software is designed, implemented, tested, and delivered using modern AI coding agents. The role combines strong software engineering fundamentals with practical experience using AI agents across the software development lifecycle. Requirements:
Responsibilities:
- Develop software using AI-assisted and agentic development workflows;
- Design and build reusable agent workflows, instructions, skills, and tools;
- Improve project context and documentation for effective use by AI agents;
- Integrate AI agents with development tools and systems where needed;
- Improve automated verification of AI-generated changes through tests, static analysis, and other quality checks;
- Evaluate new AI development tools and approaches that can be adopted by other engineering teams.
Working Conditions:
- Remote;
- Overlap: Full CET overlap;
- Target start date: TBD.
- 3+ years of software development or related engineering experience;
- Strong software engineering fundamentals, including architecture, testing, debugging, and code quality;
- Hands-on experience using AI coding agents such as Claude Code, Codex, GitHub Copilot, Cursor, or similar tools for real development tasks, including implementation, testing, debugging, refactoring, and code review;
- Understanding of SDLC practices, including CI/CD, automated testing, and release processes;
- Ability to evaluate AI-generated code and verify its correctness
Nice to have: - Experience introducing AI development practices within an engineering team;
- Relevant AI certifications, such as Anthropic Claude certifications or similar industry-recognized certifications.