MTS
Read straight from Attention's careers page, verified 14h ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
SalaryNo pay range posted
LocationPalo Alto, California
Work modeon-site
Typefull-time
SeniorityLead
DepartmentTechnical Staff
Company size2+ people
PostedAug 8, 2025 · 1y ago
Verified live14h ago
May no longer be actively hiring
Posted by the company on Aug 8, 2025No pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
Own large, critical parts of the system
Experience building and ownership
Spike in AI Runtime & Agent Orchestration: context management, tool use, VLMs, model selection, output quality in production
Spike in Search, Retrieval, Vector Systems & Data Infrastructure: Embedding pipelines, ranking and retrieval architecture, and data infrastructure underneath
Spike in Evals, Applied ML & Model Quality
Spike in Backend Systems & Workflow Architecture: PostgreSQL, Redis, Pub/Sub, FastAPI
Spike in Infrastructure, Cloud Platform & Reliability: GCP, Terraform, Docker, Cloud Run
Skills
GCP
Terraform
Docker
Cloud Run
PostgreSQL
Redis
FastAPI
Python
Pub/Sub
About Attention Engineering
The gap between how top engineers around the world use AI systems today - elaborate coding agent configs, massive context files, and engineered workflows - and how everyone else uses it is only growing.
We think the company that bridges the gap to create a sovereign product that understands and multiplies the rest of the worlds output will be one of the most important companies built in this decade.
The Team
We’re a small team of builders/researchers. We’ve worked at companies like Citadel, Jane Street, and Optiver, published papers at the top AI conferences, won IOI gold medals, and more.
If your background doesn’t fit cleanly into one of the buckets above, that’s fine. We care about ownership, experience building, and slope, rather than your pedigree.
The Role
We are hiring one title across multiple strengths. You will own large, critical parts of the system. We hire across a few different spikes, but the bar is exceptional individuals. You’re spike may be:
•
AI Runtime & Agent Orchestration: context management, tool use, VLMs, model selection, output quality in production.
•
Search, Retrieval, Vector Systems & Data Infrastructure: Embedding pipelines, ranking and retrieval architecture, and data infrastructure underneath.
•
Evals, Applied ML & Model Quality.
•
Backend Systems & Workflow Architecture: PostgreSQL, Redis, Pub/Sub, FastAPI
•
Infrastructure, Cloud Platform & Reliability: GCP, Terraform, Docker, Cloud Run.
You will work directly on the product, platform, and infrastructure with no layers between you and the decisions that matter.
More roles at Attention