Cascade AI · 17 hours ago
Backend Engineer II
Greater Seattle Area
Full-time
Hybrid
Mid Level
3+ years expCascade AI is a fast-growing company that leverages AI technology to transform HR operations. As a Backend Engineer II, you will be responsible for building and owning core backend systems that power AI agents, collaborating closely with various teams to deliver scalable solutions.
Artificial Intelligence (AI)Health CarePredictive Analytics
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: 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
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 (e.g., Firestore, 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
Company
Cascade AI
Cascade AI is a native AI platform for HR, built to transform both employee support and HR operations.
11-50 employees
H1B Sponsorship
Cascade AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Early StageTotal Funding
$2MKey Investors
AlleyCorp
2023-05-15Pre Seed· $2M
Company data provided by crunchbase