AI Engineer - Conversational AI

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 :

- 4 to 9 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.