Sr. Agentic AI Software Engineer
Mango Languages
Are you a developer who has already made the shift? Not someone dabbling in AI tools, but someone who has restructured how they work entirely around agentic workflows, ships production code through disciplined AI-assisted processes, and can show the receipts?
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. Required Skills:- 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 >
- 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 >
Vacancy posted 3 days ago
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