We build AI-powered tools that help researchers and organizations make sense of the scientific literature. Small team, hard problems, real momentum. Our MCP server just launched, enterprise adoption is growing, and the product roadmap is full of ambitious bets.
Stack:
Frontend: React 18, Redux/Redux Saga, Webpack, SWC, Express (SSR), CSS Modules Backend: FastAPI (Python 3.11), Flask, PostgreSQL, Elasticsearch, Redis, Celery AI/ML: Claude (Anthropic), OpenAI, PyTorch, Hugging Face Transformers, sentence-transformers, RAG pipelines
Infrastructure: AWS (ECS Fargate, RDS, S3, Lambda), Docker, Kong API Gateway, GitHub Actions, CircleCI
Observability: OpenTelemetry, New Relic, Sentry, PostHog
Other: Stripe, SendGrid, Playwright, TypeScript
What we're looking for:
Strong engineering fundamentals Comfort working across the stack, Python and JavaScript/React in particular Experience with PostgreSQL, Elasticsearch, or similar data-intensive systems is a plus
Familiarity with LLM APIs and retrieval-augmented generation (RAG) is a bonus Genuine curiosity about how AI can improve how people interact with research