AI SDLC Engineer

Akvelon · posted Oct 28, 2026

Open to candidates in Armenia, Georgia, Kazakhstan, Poland and Serbia

Full-time · Mid-level

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What this job asks for

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Must have

  • •3+ years software development experience
  • •Strong software engineering fundamentals
  • •Hands-on experience with AI coding agents
  • •Understanding of SDLC practices
  • •Ability to evaluate AI-generated code

Nice to have

  • •Experience introducing AI development practices
  • •Anthropic Claude certifications

Tools and technologies

Claude Code, Codex, GitHub Copilot, Cursor, CI/CD

Read the full posting

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.

Requirements

  • 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.

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