Senior Applied AI Engineer — AI‑Powered Product Experiences (Hybrid)

Material Bank; United States; Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work schedules

Hybrid work model

Health benefits

Job summary

Material Bank is seeking a Senior Applied AI Engineer to shape AI-powered experiences across the platform and drive ideas from concept to production.

You will work across the stack with Product, Design, Engineering, and Data teams to deploy multimodal search, RAG, and autonomous workflows that enhance how users discover materials and content. Hybrid work options offered to support collaboration and delivery.

Qualifications

• 8+ years of experience building and shipping production software.
• Strong background with LLMs, embeddings, multimodal AI systems.
• Proficient in JavaScript/TypeScript and Python ecosystems.
• Experience with image-based AI workflows at scale.
• Independent problem solver with product mindset.

Responsibilities

• Design, build, and deploy end-to-end AI-powered product experiences.
• Architect scalable AI systems using LLMs, embeddings, multimodal models, retrieval systems, agent frameworks, and data infra.
• Build production-grade multi-agent workflows with LangGraph, LangChain, Mastra, or equivalents.
• Develop and optimize Retrieval-Augmented Generation (RAG) pipelines and embeddings.
• Create multimodal AI workflows analyzing images and visual assets with modern models.
• Evaluate AI outputs with testing and human-in-the-loop evaluation.
• Collaborate with Product, Design, Engineering, Data, and Leadership to identify opportunities.
• Make architectural decisions balancing speed, latency, cost, and scalability.
• Stay updated on emerging AI tech to drive business value.

Skills

AI/ML systems

LLMs & embeddings

Multimodal AI

Backend & APIs

Data pipelines

Cloud infra

JS/TS & Python

Idea to product

Product instincts

Communication skills

Tools

LangGraph

LangChain

Mastra

Job description

Material Bank is seeking a Senior Applied AI Engineer to shape AI-powered experiences across the platform and drive ideas from concept to production.

You will work across the stack with Product, Design, Engineering, and Data teams to deploy multimodal search, RAG, and autonomous workflows that enhance how users discover materials and content. Hybrid work options offered to support collaboration and delivery.