Agentic AI Engineer

Job Description Agentic Engineer / AI Orchestrator Location: Chicago, IL

• Remote

Machine Learning & Artificial Intelligence Company: Bounteous About The Role 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. What You Will Do

• 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.

Must-Have Qualifications

• AI-native engineering practice (mandatory) — Proven experience directing AI agents to produce the bulk of the work in a real project (production, side project, open source, or client engagement). Must provide a live URL or repo.
• Genuine specs-and-evals habit — Specs come before code; evals come before sign-off. This is a discipline you have built and own.
• Real command of the autonomy slider — Ability to explain why a change belongs in human-written, agent-suggested, agent-shipped-with-review, or fully autonomous bucket, made intentionally every time.
• Modern engineering hygiene — Git, code review, CI/CD, automated testing, observability.
• Spec Discipline — Ability to write a spec an agent can act on, including sharp goals and non-goals, acceptance criteria framed as observable behaviour, observability and audit-log expectations, compliance implications, and linked skills and evals.
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• AI Tool Knowledge and Fluency (Required) — Must demonstrate at least 12 months daily use of at least TWO of the following: GitHub Copilot, Cursor, Claude Code, Windsurf, Aider, Continue.dev, Sourcegraph Cody, Tabnine, Replit Agent, JetBrains AI Assistant. Comfortable with AI-driven code review (GitHub Copilot Code Review, CodeRabbit, Greptile, Qodo, etc.) and has used AI agents for coding (Claude Code in agent mode, Cursor's Agent mode, Devin, OpenHands, Aider in architect mode). Comfortable writing effective prompts, understands MCP, can describe specific failure modes of AI-generated code, understands prompt injection as a security risk, and is familiar with eval frameworks.
• Information Security Responsibilities — Promote and enforce awareness of key information security practices (acceptable use, malware protection, password security). Identify, assess, and report security risks. Understand data storage, processing, and transmission compliance (GDPR, CCPA). Ensure data protection measures integrated throughout the information lifecycle.

Additional Information Equal Opportunity Employer: Bounteous is an equal opportunity employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Business & Personal Listings Visa Sponsorship: Bounteous is willing to sponsor eligible candidates for employment visas. Tags: #BI-Remote, Note: We may use artificial intelligence (AI) tools to support parts of the hiring process. Final hiring decisions are made by humans.