**About Consensus:**
Consensus is an AI search engine for scientific research. We use LLMs to help
millions of users find and analyze research papers, easily. Our Series A was
led by USV, with major participation from top AI investors like Nat Freidman
and Daniel Gross. Consensus has been featured in The Wall Street Journal, The
Atlantic, The New York Times, Nature, and a16z as one of the world's most
exciting new AI search engines.
Our mission is to make expert knowledge discoverable and consumable for all.
Help us build the future of research.
**Role:** We are seeking a backend engineer to design, build, and maintain
backend services and cloud infrastructure for our high traffic web search
engine application.
**Responsibilities:**
* Develop backend for user-facing features, such as LLM-powered research analysis, search engine enhancements, and ingestion of new datasets.
* Manage database operations with Postgres.
* Manage cloud infrastructure on GCP using Docker and Kubernetes, including deployment, monitoring, and autoscaling.
* Build data pipelines for our high throughput search engine
**Must Haves:**
* 5+ years of Web backend experience, including debugging production issues for high traffic apps.
* Strong experience in Python, FastAPI, Postgres, and Redis.
* Proficiency with Docker, including package management in cloud registries.
**Nice to Haves:**
* Experience with Terraform for infrastructure as code.
* Knowledge of web crawling, distributed pipelines, or ElasticSearch.
* Understanding of cloud security best practices.
**Why You’ll Succeed:**
* Attention to detail and craft.
* Track record of high velocity delivery.
* Interest in science, research, and LLMs.
**Compensation:**
* $160-$230k cash
* Competitive Series A equity
Final offers are determined by multiple factors and may vary from the amounts
listed above.