Cascade AI · 3 weeks ago
Backend Engineer II
Bellevue, WA
Full-time
Hybrid
Mid Level
$130K/yr - $150K/yr
3+ years expCascade AI is a company that helps HR organizations transform their operations with AI agents. As a Backend Engineer II, you will build and own core backend systems that power AI agents automating HR functions, collaborating closely with various teams to define and implement reliable and scalable systems.
Artificial Intelligence (AI)Health CarePredictive Analytics
No H1B
Responsibilities
Build, own, and evolve backend services that power Cascade’s AI agent platform
Design and implement APIs that support conversational interactions, task execution, and long-running workflows
Develop and iterate on LLM orchestration logic in Python, including prompt execution, tool calling, state management, and evaluation
Integrate deeply with enterprise systems such as HRIS platforms (Workday, ADP, UKG), ticketing tools (ServiceNow, Jira), and communication tools (Slack, Microsoft Teams)
Design data models and storage layers across relational and NoSQL databases (PostgreSQL, Firestore)
Build ingestion and retrieval pipelines for HR documents and structured data used by AI agents
Implement authentication, authorization, and access controls to meet enterprise security and compliance requirements
Own production reliability for your systems, including monitoring, alerting, debugging, and performance tuning
Work closely with frontend, product, and customer teams to ship end-to-end features quickly and iteratively
Make pragmatic tradeoffs between speed, quality, and scalability as the product and company grow
Participate in an on-call rotation and help improve our incident response and reliability practices over time
Qualification
Required
3+ years of professional backend engineering experience in production environments
Strong proficiency in Python, including experience building backend services and data-intensive systems
Experience designing and building APIs and backend services from scratch
Solid understanding of data modeling and databases, including SQL (PostgreSQL) and NoSQL systems (for example, Firestore or DynamoDB)
Experience working with cloud infrastructure (GCP, Azure, or AWS)
Familiarity with containerization and deployment workflows (Docker; Kubernetes is a plus)
Strong software engineering fundamentals: system design, testing, performance, and reliability
Experience working in small, fast-moving teams where engineers own features end to end
Comfort operating with ambiguity and evolving requirements
Preferred
Experience building LLM-powered systems or AI-driven workflows in production
Familiarity with enterprise integrations (HRIS, ticketing systems, SSO via SAML/OIDC)
Experience with background jobs, async processing, or event-driven systems
Knowledge of security best practices for handling sensitive data
Experience operating and debugging production systems using logs, metrics, and traces
Prior experience at a startup or in a high-growth environment
A track record of taking ownership and driving projects to completion
Benefits
Competitive health coverage.
401(k).
Unlimited PTO, with an emphasis on taking time off to recharge.
Company
Cascade AI
Cascade AI is a native AI platform for HR, built to transform both employee support and HR operations.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$2MKey Investors
AlleyCorp
2023-05-15Pre Seed· $2M
Company data provided by crunchbase