AI Platform Engineer (Azure AI)

Location: Remote within the United States; primarily working with East Coast stakeholders

Salary: $175,000–$210,000 base annually + 5% bonus

Company

hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies. The hiring business is a scaling, venture-backed lending technology company modernizing document-heavy lending operations with Azure cloud engineering, workflow automation, AI-assisted decisioning, and production platform architecture.

What you will do

• Build the AI platform and workflow orchestration layer for underwriting, fulfillment, document processing, borrower engagement, and eligibility workflows.
• Design durable, event-driven automation using Azure services, workflow engines, APIs, messaging, retries, checkpointing, recovery, and asynchronous coordination.
• Move AI and automation proofs of concept into production with reliability, observability, auditability, and human-in-the-loop controls.
• Develop workflows using LLM APIs, agents, RAG, tool orchestration, document extraction, classification, routing, and operational decision support.
• Partner with software engineering, AI/data, DevOps, product, and lending operations teams to create scalable frameworks.
• Support data lakehouse foundations and define architecture standards for AI automation in a regulated operational environment.

Requirements

• Strong experience architecting and shipping production software, platform engineering, distributed systems, workflow automation, or AI infrastructure.
• Hands-on Azure engineering experience across cloud-native infrastructure, event-driven systems, containerized services, APIs, and secure platform patterns.
• Experience with workflow orchestration tools such as Temporal, Camunda, Azure Durable Functions, or similar platforms.
• Ability to build and reason about AI-enabled workflows involving LLMs, agents, RAG, document intelligence, tool orchestration, and human-in-the-loop systems.
• Strong software engineering ability in one or more of Python, TypeScript, Go, C#, or .NET, with experience across modern APIs and microservices.
• Practical understanding of observability, traceability, governance, PII handling, auditability, and production reliability.
• Clear ownership mindset, strong communication, curiosity, and ability to explain shipped work, failures, fixes, and impact.
• Production systems experience is required; experimentation with AI tools or framework-only experience is insufficient.
• U.S. work authorization is required without visa sponsorship; only U.S. citizens or green card holders are eligible.

Nice to have

• Strong Azure platform engineering experience.
• Experience with workflow orchestration, distributed systems, event-driven architecture, or durable execution.
• Ability to work primarily with East Coast stakeholders.

Culture & Benefits

• Permanent remote position within the United States.
• Build a foundational platform from scratch with ownership of architecture, platform standards, and production AI automation.
• Work on practical AI systems with direct business impact across complex, high-volume lending workflows.
• Join while the business is investing in AI, automation, data infrastructure, and new engineering capability.
• Compensation includes a $175,000–$210,000 annual base salary and 5% bonus.