<aside> 🌐

Remote, Part-Time Contractor

</aside>

About Us

At Cora AI, we’re reimagining how B2B companies engage and delight their customers. Rather than simply augmenting humans with AI, we’re harnessing AI agents to rebuild customer lifecycle management from the ground up. Our goal is to orchestrate the perfect blend of digital and human touchpoints, enabling high-touch service at scale while making customer relationships feel more human than ever.

Our founding team brings deep expertise building generative AI and automation platforms at organizations like BetterUp, LinkedIn, and Thoughtful AI. Now, backed by legendary investors from Acrew Capital, Emerson Collective, and Recall Capital, along with founders and executives from LinkedIn, BetterUp, Glean, Scale AI, and Gusto, we’re on a mission to free humans to do more meaningful work.

The Role

As our AI Support Engineer, you’ll help keep our production AI agents running smoothly. This is a hands-on reliability and operations role focused on fast triage, high-signal debugging, prompt/config improvements, and lightweight code changes based on real customer needs.

You’ll work closely with the CTO and engineering team to identify failures early, fix issues quickly, and prevent repeat incidents. This is a great fit for someone who likes debugging real systems, iterating quickly, and learning how AI agents behave in production.

What You'll Do

• Monitor agent health and runs daily (failures, tool errors, stuck workflows, degraded quality).
• Triage incidents: reproduce issues, isolate root causes in logs/traces, and propose fixes.
• Implement small changes across prompts, configs, and lightweight code to improve reliability and output quality.
• Handle customer-requested tweaks: small workflow adjustments, output formatting changes, and guardrails.
• Improve resilience: better fallbacks, validation, retries/timeouts, and clearer error handling.
• Write short runbooks and postmortems for recurring issues so the team doesn’t relearn the same lessons.
• Share a weekly summary of what broke, what shipped, and what risks are emerging.

What We’re Looking For

• Strong debugging instincts and comfort working from logs, traces, and real production behavior.
• Ability to ship small, safe changes quickly (Python/TypeScript or similar).
• Clear written communication: crisp issue reports, clean updates, and good handoffs.
• Comfort operating in ambiguity with a bias toward action and learning.