Senior Software Engineer, Intelligence

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 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.