Staff AI Research Engineer

About Sybill:

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.

The Opportunity:

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.

Who You Are:

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

Strong user empathy and collaboration skills with the ability to work across product, engineering, and customer-facing teams

What You'll Be Doing:

Architect end-to-end agentic systems that autonomously plan and orchestrate multi-tool workflows

Implement sophisticated retrieval systems that surface contextually relevant information in near real-time

Optimize and fine tune our vector databases and embeddings to solve for accurate domain understanding

Drive technical decisions and collaborate with product to build AI features that solve real user pain point

Build monitoring systems to track model performance, costs, and reliability metrics

Stay on top of the latest developments in AI and rapidly prototype new capabilities

Use modern developer tools like Cursor and CoPilot to maximize productivity

Qualifications:

5+ years of AI research experience, with at least 2 years focused on RAG and AI copilot systems

Strong proficiency in modern AI infrastructure - vector databases, embedding models, agentic workflows (LangGraph, MCP etc.)

Advanced degree (MS/PhD) in Computer Science or related fields strongly preferred

What We Offer:

AI Innovation Playground: Transform cutting-edge AI concepts into magical experiences

Direct Impact at Scale: Your AI systems will transform how thousands of sellers work, directly driving our 20x growth

Rapid Innovation Cycles: See your AI experiments go from idea to production in weeks, not years

Engineering Excellence: Build on our battle-tested AI and data infrastructure while pushing the boundaries of what's possible

Competitive compensation: $240,000 - $280,000 + equity in a rapidly growing startup + comprehensive Health/Dental/Vision insurance

Our commitment to you: We believe Sybill should be your biggest career accelerant yet. We'll deliver on this by tackling hard problems together, giving you real ownership, and pushing you to grow beyond your comfort zone. If you're ready to match this ambition with your own drive, we should talk.