Agentic AI Engineer

BounteousChicago, IL
Remote

About The Position

The Agentic Engineer / AI Orchestrator is the senior technical role on a delivery pod — someone who can work across frontend, backend, and database, who directs AI coding tools to do most of the production code writing, and who is the last line of defence when something breaks in production. You will not be writing most of the code yourself. AI coding tools will do that under your direction. Your value is in deciding what to build, reviewing what the AI produces, and debugging the complex cross-system issues only an experienced engineer can solve.

Requirements

  • AI-native engineering practice (mandatory)
  • Demonstrated experience shipping projects where agents produced the bulk of the work, with the candidate steering the process.
  • A genuine specs-and-evals habit: specs come before code; evals come before signing off on anything as complete.
  • Real command of the autonomy slider: ability to intentionally decide the bucket for any particular change (human-written, agent-suggested, agent-shipped-with-review, or fully autonomous).
  • Modern engineering hygiene — Git, code review, CI/CD (Continuous Integration / Continuous Deployment), automated testing, observability.
  • Ability to write a spec that an agent can act on and that a second Member of Technical Staff can sign off on without needing a verbal walkthrough, including sharp goals and non-goals, acceptance criteria framed as observable behaviour, observability and audit-log expectations stated upfront, compliance and regulatory implications named explicitly, and linked skills and evals.
  • At least 12 months of daily use of at least TWO of the following AI coding tools on production work in the last 12 months: GitHub Copilot, Cursor, Claude Code, Windsurf (formerly Codeium), Aider, Continue.dev, Sourcegraph Cody, Tabnine, Replit Agent, JetBrains AI Assistant.
  • Comfortable with AI-driven code review tools (e.g., GitHub Copilot Code Review, CodeRabbit, Greptile, Qodo) and understands their limits.
  • Experience working with AI agents for coding that take a task and execute multiple steps autonomously (e.g., Claude Code in agent mode, Cursor's Agent mode, Devin, OpenHands, Aider in architect mode).
  • Comfortable writing effective prompts for code generation, including providing context files, defining constraints, and specifying output formats.
  • Understands the concept of MCP (Model Context Protocol) and ideally has used or built MCP servers.
  • Ability to describe specific failure modes of AI-generated code encountered (security, performance, architectural).
  • Understands prompt injection as a security risk and knows how to mitigate it.
  • Familiarity with evaluation ("eval") frameworks for AI output.
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.

Nice To Haves

  • Bonus if they've used or built MCP servers.

Responsibilities

  • Direct AI coding tools to produce production-quality code across frontend, backend, and database layers.
  • Review and validate every piece of AI-generated code before it ships. Catch logic errors, missed edge cases, performance traps, and security issues that the AI does not see.
  • Configure and tune AI code-review tools to flag the right issues for human attention.
  • Debug complex production issues that span multiple systems.
  • Hold architecture accountability for your pod — catch design problems before they reach production.
  • Mentor more junior engineers on AI tool fluency.
  • Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols.
  • Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets.
  • Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.).
  • Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information.

Benefits

  • Sponsorship for eligible candidates for employment visas.
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