About the role

Role Overview

AI Platform Engineer (Remote)

You’ll build a greenfield, production-grade AI platform that powers AI-powered lending infrastructure and intelligent workflow automation. This is an engineering role focused on architecting and deploying AI systems—not building AI demos or doing research.

Responsibilities

Design and architect a greenfield AI platform using Azure cloud technologies
Build production-grade AI infrastructure with governance, auditability, and reliability from day one
Implement workflow orchestration and agentic automation for:
- document processing (document intelligence)
- business decisioning (underwriting/decision support)
- operational workflow automation
Develop cloud-native services using Azure Functions, AKS, Service Bus, Event Grid, APIs, and microservices
Create scalable infrastructure for machine learning workloads, optimization frameworks, and distributed systems
Build human-in-the-loop workflows, plus monitoring, observability, and production controls
Collaborate with software engineering, data, DevOps, and product teams to deliver AI into production
Define and improve engineering standards, architecture, and best practices for long-term AI strategy

Requirements

Strong production software engineering experience building reliable systems
Hands-on experience architecting AI platforms and distributed cloud infrastructure
Experience with Azure ecosystem (examples):
- Azure OpenAI / Azure AI Foundry
- Azure Functions
- AKS
- Service Bus, Event Grid
- Cosmos DB
- API Management, Key Vault
Experience with workflow orchestration (examples): Temporal, Camunda, or Azure Durable Functions
Strong programming experience in one or more of:
- .NET/C#, Python, TypeScript, Go
Experience building APIs, event-driven architectures, microservices, and cloud-native applications
Experience deploying AI/ML solutions into production environments
Strong understanding of governance, security, auditability, and production operations for enterprise AI
High-agency mindset to drive work from architecture → implementation → production

Nice to Have

Experience shaping/leading a growing AI engineering function (help define standards and foundations)

About People In AI

People In AI partners with AI, machine learning, and software organizations to connect exceptional talent with impactful opportunities. The company provides a personalized and transparent recruiting experience for teams building cutting-edge AI products and infrastructure.