About AngelList:
We exist to accelerate innovation. We do this by giving more people the opportunity to participate in the venture economy by building the financial infrastructure that makes it possible for more people to invest in world-changing startups. We also build tools for startup founders that help them run their operations, so they can focus on building their company.
AngelList is the nexus of venture capital and the startup community. We support over $171B+ assets on our platform, and we’ve driven capital to over 13,000 startups. 57% of top-tier U.S. VC deals involve investors on AngelList.
While our scale is large, our ambitions are even larger – we’re innovating on the infrastructure for venture and individual investors and the startups they invest in. Come build with us!
About the Role:
AngelList is seeking Senior Software Engineers to join our Intelligence team. You will design, build, and operate services that power retrieval, semantic search, agent orchestration, model integrations, and data pipelines that turn our proprietary signals into product features.
You will have the opportunity to:
Work with one of the deepest private-market datasets in the world and build systems that surface high-value signals for investors.Design and operate OpenSearch-backed retrieval and semantic search systems and tune them for real product use.Build and run agent orchestration, model integrations, and safety layers for LLM-driven workflows.Prototype new AI-driven features and productionize them in a Go-first codebase.Own large features end-to-end and improve our testing, observability, and operational practices.
You are most likely:
A full-stack generalist or backend specialist who can work across the stack, with at least 4+ years of experience building large-scale web applications or backend services.Comfortable writing clean, production-quality Go (Golang) code, including services, libraries, and tests. Our repo is Go-first and includes modern Go AI and search libraries.Experienced in production search systems such as OpenSearch, Elasticsearch, or comparable platforms, with a track record of designing mappings and tuning queries for real traffic.Excited about LLMs, agents, embeddings, and retrieval, and able to turn prototypes into reliable, instrumented services. Experience with working with LLM APIs, tokenizers, or cloud GenAI SDKs is a plus.Comfortable with and curious about working outside of a traditional, narrow engineering role.A self-starter: you have started something meaningful on your own – a startup, an open-source project, or something else to share with us!
How success will be measured in this role:
Consistently delivers high-quality, well-tested code that meets the team’s goals and timelines.Actively contributes to team discussions and decisions, bringing thoughtful technical perspectives.Mentors and supports other engineers, helping to elevate the overall team performance.
