AI/ML Engineer

About the role

Build the AI engine behind real-time call coaching, RAG-powered knowledge retrieval, and sentiment analysis. You'll work with LLMs, embeddings, and inference optimization daily.

What we're looking for

• Deep hands-on experience in ML/AI engineering
• Strong Python, PyTorch or TensorFlow
• Hands-on experience with LLMs, RAG pipelines, and prompt engineering
• NLP and conversation analysis expertise
• Track record shipping ML to production at scale

Working at SpikedAI

• Remote. Work from anywhere. The team gathers quarterly for offsites and hacking sessions.
• Async-first. Flexible hours, async collaboration and protected time for deep work.
• Built with our own product. The team uses SpikedAI to prepare for customer conversations, capture meetings and sync follow-ups.