Senior AI Engineer, Sybill

• Are excited to create a new way of working for today’s top sellers
• Can run with projects independently - you won't have someone looking over your shoulder
• Aren’t afraid to try new approaches; are candid about wins and own mistakes, and learn from both
• Get excited about big goals, but also know how to break them down and execute
• Understand that some weeks are intense - we're building something ambitious and that takes real work
• Deep experience architecting end-to-end AI systems that combine multiple components; LLMs, hybrid search indexes (lexical, vector, and knowledge graphs)
• Track record of optimizing retrieval systems for both accuracy and performance at scale
• Strong software engineering foundation with expertise in Python and modern AI/ML infrastructure
• Proven track record in prompt engineering for complex use cases
• Data-driven mindset with experience in designing metrics and evaluation frameworks for AI systems
• Bias for action and ability to move fast while maintaining high-quality standards
• Strong user empathy and collaboration skills with the ability to work across product, engineering, and customer-facing teams
• 5+ years of software engineering experience, with at least 2 years focused on RAG and AI copilot systems
• Strong experience with vector databases (e.g., Pinecone, Weaviate) and embedding models
• Strong proficiency in Python and modern AI infrastructure
• Advanced degree (MS/PhD) in Computer Science or related fields strongly preferred
• Proven track record of delivering multiple complex backend systems or features as an individual contributor
• Proven ability to architect real-time AI systems that combine multiple data sources and models
• Experience with fine-tuning language models is a nice-to-have
• Experience with cloud platforms (AWS preferred) and scalable AI service deployment
• Exposure to or experience with B2B products is highly preferred
• A proven track record of thriving in early-stage startup environments, showing resilience and flexibility in the face of uncertainty

• At Sybill, we're building an AI co-pilot that's transforming how B2B sales is done
• As a Senior AI Engineer, you'll architect and implement sophisticated retrieval-augmented generation (RAG) systems that 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
• Design and implement end-to-end RAG systems that power our deals knowledge database and co-pilot features
• Architect an agentic system that autonomously plans and orchestrates multi-tool workflows
• Architect sophisticated retrieval systems that surface contextually relevant sales information in near real-time
• Build robust evaluation frameworks to continuously measure and improve our AI system performance
• Design and optimize vector databases and embedding systems for efficient information retrieval
• Collaborate with product and engineering teams to design AI features that solve real sales pain points
• Drive technical decisions around model selection, deployment strategies, and AI feature implementation
• Stay on top of the latest developments in AI and rapidly prototype new capabilities
• Build monitoring systems to track model performance, costs, and reliability metrics
• Use modern developer tools like Cursor and CoPilot to maximize productivity

Total funding: $14.6m

To help sales teams maximise their time, Sybill provides an AI that reduces the time spent on administrative tasks so that they can instead focus on building client relationships.