Applied AI Engineer

What you'll do

• Build and improve production speech models and systems to improve conversational quality.
• Post-train LLMs and develop evaluations, harnesses, and monitoring systems.
• Improve end-to-end agent quality across models, data, infrastructure, and product, from problem definition through production deployment.

What they ask for

• Strong engineering fundamentals and ability to build reliable production systems.
• Experience with speech modeling or LLM post-training.
• Familiarity with speech or language modeling areas such as ASR, TTS, turn detection, speech enhancement, multilingual speech, or model evaluation.
• Ability to diagnose real-world model failures and turn them into practical improvements.

Nice to have

• Prior experience in both speech modeling and LLM post-training is ideal, but not required.

Pay

$200K – $300K USD base salary

Tools

ASR, TTS, LLMs

AI focus

Production speech and language modeling, including LLM post-training, for voice agents in consumer finance.