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    Sr. Agentic AI Software Engineer

    Mongo Language
    Farmington Hills or Remote (US only)
    Remote
    Senior
    Full Time
    27 days ago
    AI-augmented developmentRuby on RailsClaude Codemulti-agent workflowsprompt engineeringsecurity-first mindset

    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
    • Experience building and coordinating multi-agent workflows with checkpointing, reproducibility, and cost control
    • Ability to author and maintain context documents (CLAUDE.md, architecture maps, runbooks)
    • 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 effectively
    • Excellent communication and collaboration skills

    What You'll Do

    • Demonstrate total fluency in Ruby on Rails and at least one modern front-end environment
    • 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
    • Review AI-generated code with discipline
    • 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
    • Build reusable agent skills, hooks, and guardrails
    • 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

    About Mongo Language

    Language-learning software for the adventurous, the ambitious, and the curious. Loved by individuals, libraries, schools, and corporations.

    Birmingham, MI, US
    50 - 100
    Education