Sr. Agentic AI Software Engineer

Mango Languages•Farmington Hills, MI

About The Position

Mango is looking for a Senior Agentic AI Software Engineer who operates at the frontier of what AI-augmented development looks like today. You will work on our core language learning platform, but your impact goes further than that. You will help raise the AI fluency of our entire engineering organization by modeling what great looks like and sharing what you know. This is not a management role. This is a hands-on role. You lead by example, not by title. You set the standard, you mentor by doing, and you bring others along without being asked.

Requirements

Strong experience in Ruby, with working knowledge of Python for machine learning and statistical analysis, and familiarity with Go for high-performance needs
Demonstrated daily use of Claude Code as a primary agentic coding tool, with production PRs to show for it, not just experimentation
Experience building and coordinating multi-agent workflows with proper checkpointing, reproducibility, and cost control
Ability to author and maintain context documents (CLAUDE.md, architecture maps, runbooks) that make a codebase AI-navigable
Experience designing evaluation harnesses to catch regressions and measure AI-assisted velocity
Disciplined prompt engineering: you design prompts with intent, iterate systematically, and document what works
Experience with RAG systems, MCP servers, or multi-agent orchestration
Security-first mindset around AI workflows: data classification, secrets hygiene, prompt injection awareness
Strong fundamentals in system design, debugging, and architecture reasoning
Ability to teach and share knowledge in ways that genuinely move a team forward
Excellent communication and collaboration skills

Nice To Haves

You are a top-tier engineer who can perform the work of your agents and more; you use AI not to compensate for a lack of skill, but to amplify your already superior capability and accelerate delivery.
You do not treat AI as a shortcut. You treat it as infrastructure.
You have built workflows, not just prompts.
You understand context engineering.
You know when to let the agent run and when to take the wheel.
You verify the output because you own the result.
You measure your process and improve it.
When AI produces poor results, your first question is what you can change, not what AI cannot do.
You are also someone who takes initiative and ownership.
At Mango, we hold ourselves accountable to results, we find a way, and we passionately pursue excellence and continuous improvement.
If that describes how you already work, you will feel at home here.

Responsibilities

Demonstrate total fluency in Ruby on Rails and at least one modern front-end environment, while maintaining the confidence and adaptability to work in any codebase on any platform by leveraging AI coding agents effectively.
Operate daily with Claude Code using structured, repeatable workflows: plan, decompose, implement, test, ship
Know when to trust AI output and when to verify it. You are the quality gate, not the rubber stamp
Review AI-generated code with discipline: know what patterns to trust, where to focus attention, and when to regenerate vs. fix manually
Use AI for planning before code exists: technical design, task decomposition, risk identification, and effort estimation
Serve as a technical resource for AI-augmented workflows across the engineering team, sharing playbooks, patterns, and tooling that help other developers level up
Build reusable agent skills, hooks, and guardrails that raise the team-wide baseline
Collaborate with product managers, front-end developers, and linguists across cross-functional teams
Participate in code reviews, sprint planning, and agile processes
Continuously research and evaluate new AI tools, models, and techniques with a framework for deciding what to adopt