AI Engineer

Role Overview
Join a high-impact team building scalable AI systems that power conversational interfaces, speech recognition, and large-scale data transformation initiatives.

What You'll Do

• Architect and operate end-to-end AI systems for conversational interfaces and speech recognition.

• Drive accuracy and cost trade-offs with ground-truth metrics.

• Build and optimize self-hosted serving (vLLM, Triton class) for model serving and infrastructure.

• Own latency, throughput, and cost per user.

Core Technical Requirements

• 3 to 5 years as an AI/ML engineer with production systems behind you.

• Depth across the modern AI stack: LLMs, speech models, vector retrieval, model serving.

• Strong software engineering skills.

• Fluency in Python and the production ML ecosystem.