Sr. Agentic AI Software Engineer

Mango Languages•Farmington Hills or Remote (US only), MI

About The Position

Mango is seeking a Senior Agentic AI Software Engineer who operates at the forefront of AI-augmented development. This role involves working on the core language learning platform and significantly contributing to the AI fluency of the entire engineering organization by modeling best practices and sharing knowledge. It is a hands-on position focused on leading by example, setting standards, and mentoring through practical application. The ideal candidate is a top-tier engineer who uses AI to amplify their capabilities and accelerate delivery, treating AI as infrastructure and focusing on building robust workflows. They take initiative, ownership, and are committed to continuous improvement and excellence.

Requirements

Strong experience in Ruby.
Working knowledge of Python for machine learning and statistical analysis.
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.
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: 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.

Responsibilities

Demonstrate total fluency in Ruby on Rails and at least one modern front-end environment, leveraging AI coding agents effectively.
Operate daily with Claude Code using structured, repeatable workflows: plan, decompose, implement, test, ship.
Act as the quality gate, knowing when to trust AI output and when to verify it.
Review AI-generated code with discipline, identifying trustworthy patterns, areas of focus, and deciding when to regenerate versus fix manually.
Use AI for planning before code exists, including 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.
Build reusable agent skills, hooks, and guardrails to elevate 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 adoption decisions.