Senior Software Engineer – Knowledge Graph, GraphRAG

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Squirro

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

💳 Fintech

Artificial Intelligence • Enterprise • Fintech

Squirro is a company that specializes in providing enterprise-grade generative AI solutions for organizations. They offer a robust platform featuring AI capabilities designed to enhance enterprise search, workflow automation, and knowledge management. Squirro's solutions involve privacy and security measures, leveraging components like insight engines, data classification, and connectors for popular platforms such as Confluence, SharePoint, and Salesforce. Their products aim to streamline processes, enhance decision-making, and improve productivity across various business functions, including risk management, service management, and sales management. Squirro is recognized as an innovative player in the AI and FinTech sectors and is featured in Gartner's 2024 Market Guide for Conversational AI Platforms and the AI FinTech100 Awards.

📋 Description

• Advance our knowledge-graph platform: Build on our existing knowledge-graph foundation to mature and productize integration capabilities. • Evolve our GraphRAG approach: Refine and extend our GraphRAG methodologies. • Expand our graph-native agent tooling: Grow our library of agentic GraphRAG tools. • Deepen agentic workflows: Build on our work modelling workflows in the graph. • Keep raising the bar: Continuously benchmark and optimize performance. • Collaborate: Work closely with product, engineering, and sales to identify use cases and ship solutions that work at scale.

🎯 Requirements

• Strong experience building and scaling backend systems in Python — ideally data-heavy. • Hands-on knowledge of knowledge graphs and semantic web technologies: RDF, SPARQL, ontologies (OWL/SKOS), and triplestores. • Familiarity with Retrieval-Augmented Generation, LLMs, embeddings, and agentic/tool-using AI patterns (or the curiosity to go deep fast). • Solid grasp of distributed systems fundamentals. • Bonus: experience with taxonomy/ontology management platforms, GraphRAG, or BPMN/workflow modeling. • A pragmatic mindset and comfort in a collaborative, fast-moving environment where ideas quickly turn into production.

🏖️ Benefits

• Growth: Work on cutting-edge problems in AI, search, and knowledge engineering, alongside experienced engineers who value curiosity and learning. • Culture: Agile and startup-like, with quick decision-making and plenty of room to contribute ideas. • Balance: We believe in continuous feedback, lifelong learning, and supporting personal growth.