AI Engineer, Production Agents

AI Engineer, Production Agents

Guild.ai is 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.

Overview

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.

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, feed 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.
• Collaborate closely with product and evaluation teams: 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 the platform.

What you will bring

• Strong software engineering background and experience owning complex features or systems end-to-end.
• Hands‑on experience building with LLMs (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 time to recharge.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

Location

San Francisco, CA