Guild
AI Engineer, Production Agents
San Francisco
Sponsorship not specifiedDetected 218 days ago
TypeScriptPythonGitCI/CDMachine LearningLLMsRAGAgentic AICommunication
About the role
- 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.
Responsibilities
- Build the First Production Agents: Design, implement, and ship some of the earliest agents built on the Guild.ai http://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.
- 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.
- Hands-on experience building with LLMs (e.g., prompting, tool calling, function calling, RAG, workflows) in a production or high-stakes environment.
- Ability to design and reason about distributed or event-driven systems, APIs, and integrations.
- Clear communication and a strong product sense-you care that what you build solves real problems for engineers.
- Experience building agentic systems (tool-using agents, workflow engines, multi-step or multi-agent setups).
Requirements
- Strong software engineering background and experience owning complex features or systems end-to-end.
- Proficiency in Python and comfort with TypeScript or modern web/backend stacks
Benefits
- 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
Company info
- Shape the Agent Engineering Practice at Guild.ai http://Guild.ai: Help define patterns, libraries, and best practices for building agents on our platform-to be used by future engineers, customers, and partners.
This listing is sourced directly from Guild's careers page and normalized into a canonical job model.