AI Software Engineer

Description

Job Summary: We are seeking a Software Engineer with experience in developing and maintaining production software, focused on implementing features by delegating tasks to coding agents. Key Highlights: 1. Minimum 5 years of experience in software development and maintenance. 2. Proficiency in programming languages such as TypeScript/JavaScript, Python, or Go. 3. Real-world production experience with coding agents. Requirements: Minimum 5 years of experience developing and maintaining production software. Completed university degree in Systems Engineering, Computer Science, Statistics, Economics, Administration, Computer Sciences, or related fields. Essential technical knowledge: Advanced proficiency in TypeScript/JavaScript, Python, Go, or similar. Intermediate-level real-world production experience using a coding agent (e.g., Claude Code, Codex, or equivalent), not just experimentation. Intermediate-level knowledge of Git, testing, API design, architecture, and code review. Desirable technical knowledge: Claude Code: project memory (CLAUDE.md), plan mode, slash commands, hooks, plugins, and context management. Skills (SKILL.md): reusable instruction packages defining how to perform a task; automatic activation based on context. Subagents / Agent Teams: specialized agents with their own context, prompts, and permissions, coordinated by a primary agent. MCP (Model Context Protocol): an open standard enabling agents to access APIs, databases, and external services. OpenAI Codex: a terminal-based coding agent; criteria for combining it with Claude Code depending on the task. AI-powered testing: generation and execution of tests, verification that the agent actually runs and fixes real failures. Quality and security: linters, type-checking, secret scanning, least privilege, and prompt injection defense. Clear understanding of the differences among Skills, subagents, and MCP, and sound judgment for selecting the appropriate mechanism. Critical review capability of AI output and security mindset (secrets, permissions, dependency validation). Experience building custom MCP servers or team-shared Skills/plugins. Familiarity with more than one agent ecosystem (e.g., Claude Code and Codex). Knowledge of model evaluation (evals) and context/token cost management. Responsibilities: Implement complete features by delegating bounded tasks to coding agents while retaining ownership of the plan and final diff review. Translate product requirements into agent-executable plans: task decomposition, acceptance criteria, and scope boundaries. Orchestrate specialized subagents (backend, frontend, testing, and review) coordinated by a primary agent responsible for planning and integration. Generate and execute AI-powered tests (unit, integration, and end-to-end), verifying that the agent actually runs and fixes real failures. Critically review generated code to detect hallucinations, invented dependencies, and regressions before merging. Build and maintain reusable Skills (SKILL.md) and MCP servers that provide agents secure access to internal APIs, data, and services. Version-control prompts, agent configurations, and project memory (CLAUDE.md / AGENTS.md) in the repository. Keep the final diff small, readable, and auditable—regardless of how much code the agent generates. Other duties as assigned by the direct supervisor.-Requirements- Minimum education: University degree 5 years of experience Keywords: engineer, engineers, ingeniera, ing, engineer