Senior Engineer (Agentic AI/Data Pipelines)

TL;DR

Senior Engineer (Agentic AI/Data Pipelines): Building and operating production data pipelines and backend services that ingest, transform, and operationalize data for user-facing features and internal intelligence systems with an accent on agentic AI workflow orchestration and system design. Focus on designing modular APIs and system boundaries, improving reliability/observability/performance, and translating real-world regulated processes into scalable AI-augmented systems.

Company

hirify.global is a consumer fintech startup reimagining tax as a year-round financial partnership using an agentic AI core plus human CPA expertise.

What you will do

• Turn ambiguous product and operational workflows into well-structured systems combining data pipelines, backend services, and AI-driven logic.
• Design and build agentic AI systems that reason, take actions, and orchestrate multi-step workflows (beyond simple LLM integrations).
• Develop and operate production-grade data pipelines powering both user-facing features and internal systems.
• Build backend services primarily in TypeScript, using Python pragmatically where appropriate.
• Design APIs and system boundaries to enable modular, composable AI and data workflows.
• Improve reliability, observability, and performance across services while owning architectural decisions in the domain.

Requirements

• Location: Remote within the United States (optional in-person collaboration in New York and Chicago).
• Proven experience owning and operating data-heavy systems in production.
• Strong experience with data pipelines (ETL/ELT, event-driven, or workflow-based systems).
• Proficiency in TypeScript (primary language); experience with other typed languages is a plus.
• Strong data modeling and system design instincts; ability to go from zero → one → scale with minimal guidance.
• Experience in fintech, tax, or other regulated environments and familiarity with security/compliance considerations are required as strong pluses.

Culture & Benefits

• Remote-first role with optional in-person collaboration in New York and Chicago.
• High-ownership engineering culture: define systems, make decisions, and own outcomes end-to-end.
• AI-assisted development as a default across prototyping, debugging, and system design.
• Focus on reliability, observability, and performance improvements across services.