Senior Software Engineer - Applied AI

FDE Times; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

FDE Times is seeking an experienced backend/edge-focused engineer to scale cloud systems and advance voice AI capabilities. You will collaborate across ML, backend, and client-device teams to address enterprise speech challenges, especially in difficult audio environments and complex integrations.

You will apply deep learning models, train and adapt them for production, and evaluate system performance while communicating insights to stakeholders in a fast-paced startup setting.

Qualifications

• Requires 4+ years hands-on experience with production cloud infrastructure.
• Applied AI/ML experience including training, fine-tuning, or adapting models.
• Ability to evaluate AI systems and communicate findings clearly.

Responsibilities

• Build and maintain scalable backend and cloud systems.
• Improve speech-to-text, text-to-speech performance via model adaptation.
• Collaborate across ML, backend, and client-device teams on enterprise voice AI challenges.

Skills

Cloud Infrastructure

Applied AI/ML

Model Training and Fine-Tuning

AI Evaluation and Scoring

Backend Systems

Speech-to-Text

Text-to-Speech

Audio Processing

Model Adaptation

Problem-Solving

Collaboration

Tools

Python

Kotlin

TypeScript

Third-Party API Integration

Job description

Build and maintain scalable backend and cloud systems while improving speech-to-text, text-to-speech, and voice-agent performance through model adaptation, evaluation, and experimentation. Collaborate across machine learning, backend, and client-device teams to address enterprise voice AI challenges, including difficult audio environments and integrations.

Requirements

Requires at least four years of hands-on experience developing and maintaining production cloud infrastructure, along with applied AI/ML experience that includes training, fine-tuning, or adapting models. Candidates should have experience evaluating AI systems, strong problem-solving and communication skills, and the ability to adapt and collaborate in a rapidly changing startup environment.

Key Skills

Cloud Infrastructure, Applied AI/ML, Model Training and Fine-Tuning, AI Evaluation and Scoring, Backend Systems, Speech-to-Text, Text-to-Speech, Audio Processing, Model Adaptation, Python, Kotlin, TypeScript, Third-Party API Integration, Point of Sale Systems, Experimentation, Problem-Solving