Junior Software Engineer

Monarch Technology Group is a startup building enterprise agentic software. They are seeking a Junior Software Engineer to contribute to developing and refining agentic workflows while collaborating with senior engineers in a fast-paced environment.

Responsibilities:

• Write code with agents, write code that orchestrates agents, build the surrounding quality machinery, and grow into the practices that hold up under real load
• Practical, recent experience using coding agents for real work, with honest views about where they help and where they generate confident garbage
• Curiosity about building tools and pipelines that tighten the agent loop and shorten feedback
• Refactoring instinct: able to take a messy module to a cleaner one in small, safe steps
• Open to methodology: XP, Lean, and related traditions
• Comfortable enough with statistical thinking to learn it on the job — confidence intervals, composition arithmetic, residual risk
• Clear written communication: can explain a tradeoff in a paragraph

Requirements:

• Education: Bachelor's in Computer Science, related field, or equivalent demonstrable experience
• Experience: Some production or production-adjacent software experience with visible craftsmanship discipline — internships, junior roles, serious open-source contributions, or substantial personal projects all count
• Recent (THIS-year) hands-on engagement with current-generation coding agents (Claude Code, Codex, or comparable), and evidence of having changed your mind at least once about how to use them
• Working proficiency in at least one mainstream language (JavaScript/TypeScript, Python, Go, or similar)
• Comfortable with Git, CI pipelines, and modern test tooling
• Familiar with at least one agent-coding tool beyond surface-level use
• Location: US-only. No visa sponsorship
• Practical, recent experience using coding agents for real work, with honest views about where they help and where they generate confident garbage
• Curiosity about building tools and pipelines that tighten the agent loop and shorten feedback
• Starting to understand that prompts shift distributions — they do not enforce bounds
• Refactoring instinct: able to take a messy module to a cleaner one in small, safe steps
• Open to methodology: XP, Lean, and related traditions
• Comfortable enough with statistical thinking to learn it on the job — confidence intervals, composition arithmetic, residual risk
• Clear written communication: can explain a tradeoff in a paragraph