Senior Agentic AI Software Engineer

Mango Languages

Senior Agentic AI Software Engineer enhancing engineering processes through AI coding tools at Mango Languages. Leading by example in Ruby development and mentoring team members.

Posted 5/15/2026full-timeRemote • Missouri • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

GoPythonRubyRuby on Rails

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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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Hard Skills & Tools

Ruby on RailsPythonGoAI coding agentsmachine learningstatistical analysismulti-agent workflowsprompt engineeringsystem designdebugging

Soft Skills

collaborationcommunicationteachingknowledge sharingadaptabilitydisciplinecritical thinkingproblem-solvingorganizational skillsleadership