Senior Software Engineer, Discovery - Semantic Search & RAG (New York)

Senior Software Engineer, Discovery - Semantic Search & RAG

Harmonic is the startup discovery engine. It pains us to see great startup opportunities consistently go undiscovered. So, we dedicated ourselves to mapping out the startup landscape and building the tools that ensure the most promising founders get found and funded.

The world's largest and most prolific venture capital firms (as well as the up-and-comers you haven't heard of yet) rely on us to find and invest in the next Google, AirBnB, Uber, Stripe, and Anduril. We play a crucial part in ensuring hundreds of billions of dollars get routed efficiently and that the innovations the world would most benefit from materialize.

We are on pace to double revenue over the next twelve months and already power thousands of investors' workflow. Backed by $30M from investors like Craft, Floodgate, and Sozo Ventures, we want to power the entire investment workflow from discovery to term sheet. If you resonate with our values and want to fundamentally evolve how venture capital markets work, come join us.

The Role

Scope of the role :

• Own semantic understanding : Semantic search is one of our most valuable features - it enables our users to describe a company or market problem as they see fit, and find the most compelling startups in that space. It still has so much room for improvement, and every margin of improvement translates to our customers finding better opportunities, and more innovation getting funded.

You will lead the strategy and roadmap to improve and evolve semantic search precision and recall outcomes. This spans everything from structuring data for embeddings and fine-tuning embedding models through to creative retrieval and ranking strategies. You'll experiment with and implement novel approaches to continually increment towards perfect search results.

To drive this, you will own designing and building systems that persist and leverage high value data to produce outcomes with real-time, individualized responses. Think storage and RAG over data like : notes, pitch decks, correspondences plus prior search queries, engagement patterns, and long-term-memory stores.

Background we're looking for :

Pay : $180k-$220k Salary + Equity depending on the level

The Process

Here's our interview process :

Benefits