Senior Agentic AI Software Engineer

🕒 vor 2 Monaten

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Mango Languages

Mango Languages

51 - 200 Mitarbeiter

Gegründet 2007

💼 Beratung

📣 Marketing

📚 Bildung

Consulting • Marketing • Education

Mango Languages ist eine führende Sprachlernplattform, die Kurse in über 70 Sprachen anbietet. Sie ist bekannt für ihre hoch bewertete Sprachlern-App, die Intuitive Language Construction™ nutzt und sich auf Wortschatz, Grammatik, Aussprache, Verständnis, Behaltensvermögen und Kultur konzentriert. Die Plattform bedient verschiedene Sektoren, darunter K-12 und Hochschulbildung, Bibliotheken, Unternehmen und Regierungsbehörden, und bietet Werkzeuge zur Erkundung und Verbesserung globaler Kommunikationsfähigkeiten. Mango Languages hat das Ziel, ein ansprechendes Sprachlernerlebnis mit Funktionen wie Audio von Muttersprachlern, kulturellen Kontexten und einem täglichen Überprüfungssystem zu bieten, das sich dem Fortschritt der Benutzer anpasst. Verfügbare Pläne bieten Flexibilität für Einzelpersonen und Organisationen, die neue Sprachen lernen möchten.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• Mango Languages is proud to be an Equal Employment Opportunity employer. We do not discriminate against any employee or applicant for employment on the basis of a person's race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, height, weight, marital status, disability status, protected veteran status, or any other legally protected category.

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