Introduction
We are fast-moving, opinionated, and see the development of AI as the highest-leverage activity for human progress. We just finished fundraising from top firms, are growing fast, and are off to the races to solve the “fire hose of information” for enterprises & professional services with AI research agents.
A Brief Description of the Role
As a Member of Technical Staff, you will collaborate closely with the team to deliver scalable, secure, and reliable solutions that drive our company's product forward. We are looking for individuals with strong problem-solving abilities, a deep understanding of AI research & data engineering (or the ability to build one quickly), who are obsessed with performance, and have the eagerness to work on cutting-edge technologies at an early-stage startup.
On any given day, you may:
- Design distributed systems for large-scale document processing, understanding, and vectorization
- Design end-to-end pipelines for document understanding and search: model training, continual fine-tuning from ETL outputs, automated evaluation, and zero-downtime model deployment using Modal & Temporal
- Implement performant vector search systems with complex filtering and hybrid retrieval
- Create a flexible framework for agent orchestration systems using async Python with FastAPI
- Develop domain-specific fine-tuning and evaluation pipelines for embeddings models using PyTorch
- Deploy web scraping agents and multimodal web agents for autonomous data extraction at 100k+ pages/hour with distributed proxy infrastructure
- Scale Python applications elastically using Modal for distributed task queues, web crawling, model training and zero-ops deployments
- Design low-latency APIs handling 10k+ requests/second with caching
- Build performant Next.js apps with SSR
- Ship polished, production-ready frontend platforms to large, research-focused enterprises
- Create real-time collaborative spaces that blend human and AI workflows using WebSockets/CRDTs
- Prototype novel interaction patterns for AI systems - reimagining universal UX (docs/spreadsheets/inboxes) around agent capabilities, developing novel interfaces for delegating tasks to and collaborating with multiple AI agents
Your background might look something like:
- 3-8+ years of relevant experience.
- Former founder, or early engineer at a startup who has built a product from scratch is a plus.
We are on-site in Manhattan, NYC. Compensation (salary + equity) will be competitive relative to experience level and other factors.
A Brief Description of Us
Being an engineer at an early-stage startup is not easy. Here are some of our values and what we care about. If this excites you, we would love for you to send in an application.
- Intellectual rigor: Early-stage startups are about the relentless pursuit of the truth. We cut through the bullshit and are honest with our customers, our partners, and most importantly, ourselves.
- Ground-zero: We are intense about meeting our customers in their environment. We onboard every single customer manually — even when there are hundreds. We fly to see customers, even if the ACV doesn’t justify it. We are obsessive and intense.
- Grit: A startup is built by people who like to get their hands dirty. We want to see that when left to your own devices, you know what to do and can stay resilient in the face of uncertainty and ambiguity.
- Craft: We want you to care about the systems and interfaces that you build and keenly evaluate the tradeoffs of your decisions. We believe the best products come from having great taste.
- Relentlessness: We are relentless in the speed at which we move when we build conviction, in getting in front of the right people, and in improving ourselves as a company and as individuals.
