AI Software Engineer

Description

Job Summary: We are seeking a software engineer with experience in developing and maintaining production systems, with a strong focus on using and orchestrating coding agents. Key Highlights: 1. Software development and production system maintenance with 5 years of experience. 2. Proficiency in TypeScript/JavaScript, Python, Go, and coding agents. 3. Orchestration of specialized subagents and AI-powered test creation. Requirements: Minimum 5 years of hands-on experience developing and maintaining production software. Completed university degree in Systems Engineering, Computer Science, Statistics, Economics, Business Administration, Computer Sciences, or related fields. Essential technical knowledge: Advanced proficiency in TypeScript/JavaScript, Python, Go, or similar. Practical experience using a coding agent (e.g., Claude Code, Codex, or equivalent) in production work—not just experimental use. Intermediate level. Knowledge of Git, testing, API design, architecture, and code review. Intermediate level. 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: terminal-based coding agent; criteria for combining it with Claude Code depending on the task. AI-powered testing: test generation and execution, 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 distinctions among Skills, subagents, and MCP—and sound judgment in 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 overall 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, fabricated dependencies, and regressions before merging. Build and maintain reusable Skills (SKILL.md) and MCP servers granting agents secure access to internal APIs, data, and services. Maintain version-controlled 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: Bachelor's degree 5 years of experience Keywords: engineers, ingeniera, ing, engineer