Staff AI Research Engineer

At Sybill.ai , we're building the next evolution in B2B sales – an AI-first platform that transforms how sellers work. Think of it as your intelligent sales IDE (Integrated Deal Environment), empowering sellers to focus on what truly matters: building relationships and closing deals.

Today, sellers spend 70% of their time on non-revenue activities. We're flipping this paradigm on its head. Sybill's AI lets sellers become super-performers who guide AI systems and focus on high-impact customer interactions.

Our proprietary AI technology, developed by a small but mighty team from Stanford, Harvard, and the IITs, and backed by leading investors in Silicon Valley, is not just another tool; it serves as the foundation of a groundbreaking sales workflow that delivers exceptional outcomes for our users. With 99%+ retention and 20x growth to 850 paying companies last year, our customers' enthusiasm speaks for itself.

As a Staff AI Researcher, you'll architect and implement sophisticated agents and retrieval techniques that work across XX Million data points for every sales organization to power our sales co-pilot, making it feel like every seller has a seasoned sales mentor by their side. You'll drive continuous innovation by incorporating cutting-edge AI advancements, running rapid experiments, and iterating based on real user feedback to create truly magical experiences for our users.

Deep experience architecting end-to-end AI systems that combine multiple components; LLMs, hybrid search indexes (lexical, vector, and knowledge graphs) and agents

Track record of optimizing retrieval systems for both accuracy and performance at scale

Data-driven mindset with experience in designing metrics and evaluation frameworks for AI systems

Strong software engineering foundation with expertise in Python and modern AI/ML infrastructure