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Guild.ai

Multi-model AI agent governance platform

Forward Deployed Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time$180k - $300k /yr

About the Job

Requirements

  • At least 3 years of technical pre-sales experience partnering with sales teams to position complex technical products and drive customer deals to closure.
  • At least 3 years of software engineering experience; full-stack development experience with Python and TypeScript is preferred but not required.
  • Deep comfort working with third-party APIs, authentication protocols, and enterprise systems.
  • Ability to navigate ambiguous requirements and translate complex business needs into clean, maintainable technical solutions.
  • Ability to explain complex infrastructure to non-technical stakeholders while maintaining technical credibility with developers.
  • Comfort shipping solutions in fast-paced, early-stage environments.

Responsibilities

  • Partner with customers to map business processes to agent-based solutions.
  • Design and build integration architectures connecting the platform to customer tools such as Slack, GitHub, Salesforce, and internal APIs.
  • Implement custom workflows and agent behaviors using modern large language model frameworks such as OpenAI and Anthropic.
  • Build supporting services, scripts, and interfaces to deliver customer solutions.
  • Work across the stack using Python, TypeScript, and React as needed.
  • Operate in cloud-native environments including Google Cloud Platform, Amazon Web Services, and Kubernetes.
  • Translate field learnings into concrete product requirements and platform features.
  • Identify patterns across engagements and build reusable templates and integration libraries.
  • Collaborate with the core engineering team to connect customer needs with the platform roadmap.
  • Support sales with technical expertise, including architecture reviews and proof-of-concept builds.
  • Act as a trusted advisor to customer engineering and information technology teams.
  • Lead the technical side of customer engagements end-to-end, including customer-site implementations as needed.

Desired Qualifications

  • Experience building with large language model APIs or agentic frameworks.
  • Background in developer tools, infrastructure, or enterprise software as a service.
  • Familiarity with Kubernetes and cloud-native scaling.

About the Company

Guild.ai

Multi-model AI agent governance platform

Guild.ai provides an infrastructure platform that helps organizations build, run, and manage many AI agents across different models and vendors. It offers a neutral control plane that unifies deployment, governance, and observability for AI agents, with features like centralized identity, access control, and complete audit logs. The platform includes components such as a Managed Agent Center and an Agent Hub for sharing trusted agents, plus tools for typed interfaces, versioned releases, and safe execution boundaries so agents behave like predictable systems rather than loose scripts. Originally starting as an open-source toolkit for automating machine learning experiments, Guild.ai now focuses on production AI governance and orchestration, aiming to create an ecosystem similar to GitHub for AI agents. The goal is to scale enterprise AI use by reducing shadow AI, improving reliability and collaboration across teams.

Company size
11-50
Company stage
Series A
Total funding
$44M
Headquarters
Chicago, IL
Founded
2015

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