AI Engineer, Production Agents

We’re looking for a founding engineer focused on building production agents—someone who will push our platform to its limits by creating some of the first real-world agents that developers rely on. The Opportunity: Build the First Production Agents on a New AI Platform This isn’t a typical “apply-the-API” role. As the engineer responsible for our first production agents, you’ll be at the intersection of product, infrastructure, and AI. You’ll take our platform primitives and turn them into concrete agents that ship to real customers—driving both what the platform is today and what it becomes next. We’re tackling one of the hardest—and most important—problems in software engineering: helping developers understand, evolve, and operate complex systems using autonomous and event-driven AI. Your agents will be among the first proof points that this new way of building is not only possible, but better. If you’re excited by 0→1 systems, love owning features end-to-end, and want to work hands-on with LLMs and agents in real production environments, this role is for you. What You Will Do Build the First Production Agents: Design, implement, and ship some of the earliest agents built on the Guild.ai platform—agents that developers will use to understand, debug, and evolve complex software systems. Push the Platform by Using It: Act as both power user and core contributor: use our platform to build agents, then feed your experience back into the platform’s APIs, abstractions, and UX. Own Agent Workflows End-to-End: Take agents from idea → prototype → production: task scoping, architecture, prompts, tools, integrations, logging, and iteration based on real-world behavior. Integrate Deeply with Real Developer Environments: Connect agents to source control, CI/CD, observability, and other components of modern engineering stacks so they can operate on real code and real systems. Make Agents Reliable, Safe, and Observable: Implement guardrails, monitoring, and debugging tooling so we can understand what agents are doing, why they’re doing it, and how to improve them. Collaborate Closely with Product & Evaluation: Work with PMs and evaluation/ML teammates to define agent behaviors, success metrics, and iteration loops. Use evaluation harnesses and telemetry to guide improvements. Shape the Agent Engineering Practice at Guild.ai : Help define patterns, libraries, and best practices for building agents on our platform—to be used by future engineers, customers, and partners. What You Will Bring Strong software engineering background and experience owning complex features or systems end-to-end. Hands-on experience building with LLMs (e.g., prompting, tool calling, function calling, RAG, workflows) in a production or high-stakes environment. Proficiency in Python and comfort with TypeScript or modern web/backend stacks Ability to design and reason about distributed or event-driven systems, APIs, and integrations. A practical mindset around reliability: logging, observability, debugging, and iterative hardening of systems in production. Comfort operating in a high-ambiguity, high-ownership startup environment. Clear communication and a strong product sense—you care that what you build solves real problems for engineers. Bonus Points Experience building agentic systems (tool-using agents, workflow engines, multi-step or multi-agent setups). Familiarity with developer tools, infrastructure, observability, or platform products. Experience integrating with Git-based workflows, CI/CD, cloud services, or internal tooling used by engineering teams. Prior work with evaluation or monitoring of LLM-based systems in production. Experience at an early-stage startup or in a role where you were the primary builder for a new product area. Benefits & Perks Significant equity in an early-stage, venture-backed startup Comprehensive Health Benefits (Medical, Dental, Vision) Flexible PTO to ensure you have the time you need to recharge

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