AI Engineer (Back-end)

Taste Tech Inc • San Francisco, CA

78d

About The Position

We’re hiring a Backend-focused AI Engineer to own the infrastructure that powers our creative AI pipelines — scraping, indexing, embeddings, data platform, and the APIs that serve our models to customers. You’ll work alongside our Applied ML Engineer and full-stack AI Engineer to make sure our data and serving layer can scale with the models we’re training. You’ll own architectural decisions on everything from our vector store to our training data pipeline.

Requirements

• 4+ years backend engineering, recent experience at an AI-native startup or building AI infra in a product company
• Strong Python + typed TypeScript; comfortable with cloud infra (AWS/GCP)
• You’ve built high-throughput data pipelines (Kafka, Dagster, Airflow, whatever)
• Experience with vector stores, embeddings, RAG at production scale
• You think in systems and care about reliability

Responsibilities

• Data infrastructure: scraping, ingesting, embedding, and indexing massive visual + design datasets
• API architecture: internal services + external customer-facing APIs
• Training data pipelines: turning expert-labeled creative work into clean training datasets
• Model serving: inference infra, latency/cost optimization, reliability
• System design for an AI-first product that needs to scale fast

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees