AI Engineer, Production Agents jobs in United States
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Guild.ai · 3 weeks ago

AI Engineer, Production Agents

Guild.ai is a startup focused on building innovative AI solutions, and they are seeking a founding engineer to create production agents on their platform. The role involves designing, implementing, and shipping agents that help developers understand and operate complex software systems, while also shaping the engineering practices for future development.

Artificial Intelligence (AI)Developer PlatformDeveloper ToolsGenerative AISoftware

Responsibilities

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

Qualification

LLMsPythonDistributed systemsTypeScriptObservabilityProduct senseReliability mindsetClear communication

Required

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

Preferred

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

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

Guild.ai

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AI, Software Development

Funding

Current Stage
Early Stage
Total Funding
$0M
2025-09-01Seed· $0M
Company data provided by crunchbase