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# Agent Deployment Engineer

- **Company:** Winter Venture LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $230,000.0
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Large Language Models, Agentic-AI, Virtual Agents, Api Design, Api Management
- **Published:** October 1, 2026
- **Apply:** https://www.juju.com/job/16_b786fe70

## About the Role

* 3 to 10 or more years of experience shipping technical solutions end-to-end for customers.
 * Strong Python development skills with recent, hands-on individual contributions.
 * Experience working with APIs and building integrations in a B2B SaaS or similarly complex technical environment.
 * Customer-facing or client-facing technical delivery experience, such as solutions engineering, forward-deployed engineering, or technical account management.
 * A strong academic or professional signal of excellence, such as a CS degree from a top program or prior experience at a highly respected engineering organization.
 * Experience with pre-sales or full product ownership is a plus.
 * Familiarity with LLMs, AI agents, conversational systems, or automation workflows is a strong plus.
 * Must be eligible to work in the United States without visa sponsorship.

## Description

This is a hands-on, customer-facing technical delivery role sitting within a specialized Agent Builder team at a fast-growing conversational AI platform. You will own end-to-end execution of enterprise AI agent builds, from initial scoping through launch and iteration, directly shaping the customer experience outcomes that make this product category-defining.
What You'll Do

 * Own the full lifecycle of AI agent builds for enterprise customers, including scoping, implementation, launch, and ongoing iteration.
 * Write and maintain key agent-building artifacts such as workflows, configurations, and integration code.
 * Validate and troubleshoot API integrations between the platform and customer systems.
 * Partner with customers' senior technical stakeholders to translate business requirements into concrete build plans.
 * Collaborate cross-functionally with Product, Engineering, and Go-to-Market teams to surface gaps and feed real customer needs back into the platform roadmap.
 * Ensure agents perform reliably and at enterprise-grade quality at scale.


## Related Videos

- [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents)
- [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue)
- [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started)
- [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai)
- [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus)
- [How to Stop Your Agents From Going Rogue - Arnav Gupta](https://www.wearedevelopers.com/videos/2152-how-to-stop-your-agents-from-going-rogue-arnav-gupta)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [A 5-Step Open-Source Setup for Agentic Engineering](https://www.wearedevelopers.com/magazine/738-a-5-step-open-source-setup-for-agentic-engineering)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)