Design, build, and operate backend services that power context retrieval and enrichment for AI assistants and agents.
Build platform capabilities for storing, searching, and retrieving “insights” and relevant facts across HubSpot’s GTM data.
Develop systems to manage and compress context when it gets large (e.g., long contact histories, high-volume CRM data).
Create tooling that allows other engineering teams to ship assistants/agents faster, with consistent APIs and reusable primitives.
Build and maintain evaluation and measurement approaches (offline evals, golden datasets, automated metrics, human review loops) to ensure context quality and answer accuracy.
Collaborate closely with sister platform teams and downstream product engineering teams (your “customers”) to integrate platform capabilities into real experiences.
Own end-to-end delivery: architecture, implementation, observability, performance, reliability, and iteration.

Requirements

Strong track record shipping production backend systems as a senior engineer (ownership from design to delivery).
Professional Java experience building maintainable, testable services in production (this is core to the role).
Experience implementing ML workflows in production (e.g., retrieval/ranking pipelines, feature/data pipelines, model/embedding services, evaluation frameworks).
Comfort working with data tooling and data-intensive systems (large datasets, pipelines, and service integrations).
Experience operating software at meaningful scale (e.g., high throughput, significant data volume, performance and reliability constraints).
Strong engineering fundamentals: system design, code quality, debugging, observability, and operational excellence.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Javabackend systemsML workflowsretrieval pipelinesranking pipelinesfeature pipelinesdata pipelinesmodel servicesevaluation frameworkssystem design

Soft Skills

collaborationownershipcommunicationdebuggingoperational excellence