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 Full Stack AI Engineer to develop LLM-powered features and enhance the end-to-end web development of our high-traffic AI search engine.

Responsibilities:

• Develop full stack LLM-powered features for research analysis, data extraction, visualizations, etc.
• Leverage latest ML research, RAG techniques, and prompt engineering to optimize accuracy and cost of AI features.
• Contribute to other parts of full-stack web development, such as authentication, subscriptions, and product analytics.

Must Haves:

• 4+ years working as a full stack engineer, preferably at a startup or another fast-paced environment
• 1+ years building with LLM APIs or open source models - OpenAI, Anthropic, Llama, etc.
• Strong programming skills and experience with modern tech-stacks - we use Typescript, Next.js, Python FastAPI, Postgres and Redis
• Comfortable working with SaaS products for user auth and payment, and maintaining web analytics

Nice to Haves:

• Experience training/deploying fine-tuned open source LLMs
• Experience in cloud infrastructure management on GCP and Kubernetes
• Knowledge of web crawling, distributed pipelines, or ElasticSearch

Why You’ll Succeed:

• Attention to detail and craft.
• Track record of high velocity delivery.
• Interest in science, research, and LLMs.

Compensation:

• $180-$230k cash
• Competitive Series A equity

Final offers are determined by multiple factors and may vary from the amounts listed above.