Jobs at Squirro

Lead and grow Squirro's engineering organisation, own the technical roadmap with the CTO, drive delivery and operational excellence, bridge engineering with product and business stakeholders, and push innovation in AI, knowledge graphs, search and distributed systems.

As a Senior Solutions Engineer, you'll implement and support AI-driven search and insights solutions, ensuring successful delivery and customization for enterprise clients. Involvement with technical consulting and deployment in hybrid environments is key.

Partner with sales, product, and delivery teams to design, demonstrate, and scope Generative and Agentic AI solutions. Lead technical POVs and demos, translate business needs into scalable architectures, extend platform functionality with Python components (orchestrators, RAG pipelines, prompt frameworks), advise customers on AI adoption, and feed product/engineering with field insights.

Implement, customize, and operate enterprise AI-driven search and insights solutions. Engage customers through qualification, deployment, and support; design scalable architectures; extend the platform using Python/Bash; integrate LLMs, Elasticsearch, and APIs; manage deployments on Linux and hybrid infrastructures; document solutions and collaborate across teams.

As a Knowledge Graph Engineer, you will design and implement knowledge graph solutions, manage client engagements, and collaborate across teams for semantic modeling and customer success.

Design, build, and maintain scalable data connectors and integration frameworks that ingest and normalize data from enterprise systems and third-party platforms. Implement authentication, rate limiting, incremental sync, error handling, and observability. Deliver application integrations into collaboration platforms (Teams, Slack), create reusable SDKs/frameworks, and collaborate with product and engineering to produce reliable, maintainable integration solutions at scale.

Lead development and productization of knowledge-graph capabilities and GraphRAG modules. Build graph-native agent tools (SPARQL, graph search, traversal, subgraph extraction), model workflows/ontologies, optimize performance, and collaborate with product, engineering, and sales to ship scalable, production-ready AI features.

Design, implement, and scale search and AI components for an enterprise platform. Work on NLP, retrieval, generative AI, and distributed systems. Collaborate with product and engineers, own features from design through deployment, and focus on performance, reliability, and maintainable code.

Design, implement, and scale search and AI components powering the platform. Work across NLP, retrieval, generative AI, and distributed systems. Collaborate with product and engineers to turn ideas into production, owning features end-to-end and improving them using metrics.

Lead development and productization of knowledge-graph features and GraphRAG modules. Build graph-native agent tooling (SPARQL, graph search, traversal), extend ontologies and workflow modeling, optimize performance, and collaborate with product, engineering, and sales to ship scalable solutions and maintain documentation and training.

Own post-sale success for a portfolio of enterprise clients: drive adoption, run QBRs and renewals, manage end-to-end implementations using agile methods, translate telemetry and GenAI signals into actionable recommendations, and identify expansion opportunities while coordinating cross-functional teams.