
AI Engineer, Production Agents
Guild.ai
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • United States
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Tech Stack
About the role
- 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.
Requirements
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
software engineeringLLMsPythonTypeScriptdistributed systemsevent-driven systemsAPIsintegrationsloggingobservability
Soft Skills
clear communicationstrong product sensepractical mindsethigh-ambiguity environmenthigh-ownership