AI Data Scientist– RAG, SLM & Distributed Data (Spanner)

Job Description
We are looking for a mid-level AI Engineer with hands-on experience in Retrieval-Augmented Generation (RAG)systems, Small Language Models (SLMs), and distributed databases such as Google Cloud Spanner.
You will work closely with senior engineers and product teams to build scalable AI systems that integrate retrieval pipelines, language models, and distributed transactional infrastructure. This role is ideal for someone who has already built AI features in production and wants to deepen their expertise in applied GenAI systems.

Contract: Through the end of the year

What You’ll Be Working On
• Production RAG features.
• Distributed knowledge storage backed by Spanner.
• AI-powered APIs and services.
• Retrieval optimization and evaluation.
• Model cost/latency optimization.
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Technical Skills Snapshot
Category Skills
AI RAG pipelines, Embeddings, Prompt engineering
Models SLM/LLM ...