Backend Engineer

• Architect AI Agent Infrastructure
• Design agent runtime environments that orchestrate long-running tasks, decisions, and tools.
• Build modular systems for agent memory, contextual state handling, and secure API actions.
• Integrate retrieval-augmented generation (RAG), multi-agent planning, and vector store reasoning.
• Own the backend architecture behind Deal Intelligence pipelines.
• Ensure low-latency data access across MongoDB, PostgreSQL, Kafka, and Solr clusters.
• Define and meet scalability, uptime, observability, and security goals.
• Work closely with ML engineers to productionize agent behaviors.
• Integrate securely with Highspot’s permissioning, audit, and action layers.
• Partner with product designers and PMs to co-create novel agent UX flows.
• Lead postmortem reviews and build internal tools for debug-ability and traceability.
• Evolve our LLMOps playbooks and safety guards for scalable deployment.

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