Forward Deployed Engineer, Triage (SF)

present of AI; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

present of AI in San Francisco seeks a mid-level Customer & Solutions engineer who owns a set of mid-sized customer accounts, debugs integration problems, and reviews customer code to find root causes. You will pair strong Python and REST API skills with clear writing as most work happens in Slack.

You will help shape AI agent usage by running first-line questions, escalating complex issues to Engineering, and shipping small automations that others rely on.

Qualifications

• Experience debugging Python applications and REST APIs.
• Ability to read customer code and diagnose integration issues.
• Strong written communication for customer interactions.

Responsibilities

• Own a set of mid-sized customer accounts.
• Debug integrations and fix issues.
• Read customer code to identify root causes and propose solutions.
• Coordinate with Engineering for escalations and fixes.

Skills

Python

API debugging

Technical writing

Tools

Slack

Job description

Customer & Solutions · San Francisco · Mid level

This is a hands-on technical support and customer engineering job. The person owns a set of mid-sized customer accounts, debugs integration problems, and reads customer code to find what is going wrong. They also run the AI agents that answer first-line questions, so a strong candidate pairs solid Python and API skills with clear writing, since most of the work happens in Slack.

How it fits the AI era

AI agents now handle the first wave of customer questions, so the human work shifts to the harder cases the agent cannot solve and to making the agent better afterward. Coding agents are part of the daily toolkit, and checking their output before it reaches a customer is a core habit. Judgment, empathy with a frustrated developer, and deciding what to escalate to Engineering stay human.

How it builds AI experience

Someone in this role would get real practice building, tuning and owning customer-facing agents, including bringing a chat agent back online and fixing it after each failed case. Working with a voice AI API also builds a close understanding of speech-to-text behavior and how customers use it. To prepare, ship a small automation or agent that others use and try the company's public API and playground.

Worth showing

• Python and REST API debugging
• Shipped projects with coding agents
• Built an agent others rely on
• Turning customer feedback into bug reports

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About AssemblyAI

A speech-to-text and voice AI API that developers use to transcribe, understand and build products on top of spoken audio.