Forward Deployed Engineer (New Grad)

About the role

LiteLLM is the world's most popular AI Gateway, trusted by top companies like Adobe, Netflix, and NASA. Our platform empowers developers by providing secure, reliable access to LLMs and adjacent services, and we're looking for a Forward Deployed Engineer (New Grad) to help our customers succeed with the leading OSS AI gateway.

About the Role

We're looking for a Forward Deployed Engineer (New Grad) to help drive our customers to success, primarily through customer calls and interactions in our support queue. Because LiteLLM is a developer tool, this person needs to be technical. You'll dig into our customers' issues, understand them deeply, and unblock them.

The core of this role is simple: work the queue, address tickets, and make our customers successful with the product. We're looking for someone who is obsessed with getting to the root cause of problems rather than applying surface-level fixes. The best people in this role understand the real depth of a problem before they solve it.

Responsibilities

- Own the support queue and work through tickets to drive customers to success

- Diagnose customer issues and solve for the root cause, not just the symptom

- Reproduce customer issues in their specific environments

- Submit pull requests for bug fixes and improvements where needed

- Act as the technical voice of the customer back to engineering

What We're Looking For

- A computer science degree from a top university (mandatory)

- Strong technical fundamentals and eagerness to learn the LiteLLM product surface quickly

- Obsessed with customers and making them successful with the product

- Obsessed with solving root causes rather than patching over problems

- Metrics-driven and hardworking, ready to move through a high volume of tickets

- A strong bias toward understanding problems deeply

Why Join LiteLLM?

- Fast-paced growth environment with deep technical ownership.

- Competitive salary, health, dental, and vision benefits, 401k plan with 3.5% match.

See the posting on LiteLLM's site