The company is looking to solve the problem of building and maintaining core agent and data systems development, including handling large amounts of data and integrating advanced AI/ML work.
Requirements
- Strong fundamentals in data structures, APIs, async systems, and distributed services
- Experience building production data pipelines, ETL systems, or search/retrieval infrastructure
- Strong capability working with Python and TypeScript in production
- Experience with embeddings, vector databases, or hybrid search
- Background in developer tools, infra, or technical products
- Experience handling unstructured or domain-specific data
Responsibilities
- Design and implement the core agent architecture (state, tools, workflows, evaluations)
- Build indexing, search, and retrieval systems to power agent reasoning
- Design and maintain data ingestion pipelines that turn messy inputs into structured, usable context
- Integrate LLMs, embeddings, and retrieval infrastructure into production systems
- Build guardrails, evals, and observability to ensure reliability, performance, and cost control
- Work closely with founders and product to translate real user needs into shipped functionality
Other
- 3+ years of experience as a backend, platform, or infrastructure engineer
- Undergraduate degree or minor in Mathematics
- Autonomy and ability to work with extremely talented engineers
- Desire to get hands-on with advanced AI/ML work
- Ability to translate real user needs into shipped functionality
