Note: The job is a remote job and is open to candidates in USA. People In AI is a rapidly growing fintech company seeking an AI Platform Engineer to build next-generation AI-powered lending infrastructure. The role involves architecting and deploying production AI infrastructure that supports various automation and operational AI processes.
Responsibilities
- Build and architect a Greenfield AI platform using Azure cloud technologies
- Design production-grade AI infrastructure with governance, auditability, and reliability built in from day one
- Develop workflow orchestration and agentic automation for document processing, business decisioning, and operational workflows
- Build cloud-native services using Azure Functions, AKS, Service Bus, Event Grid, APIs, and microservices
- Design scalable infrastructure supporting machine learning workloads, optimization frameworks, and distributed systems
- Implement human-in-the-loop workflows, monitoring, observability, and production controls
- Collaborate closely with software engineering, data, DevOps, and product teams to deliver AI capabilities into production
- Help define engineering standards, architecture, and best practices for the company's long-term AI strategy
- Operate with significant ownership and autonomy while helping shape a growing AI engineering function
Skills
- Strong software engineering experience building production systems
- Hands-on experience in architecting AI platforms, workflow orchestration, automation platforms, or distributed cloud infrastructure
- Experience with Azure technologies such as Azure OpenAI, Azure AI Foundry, Azure Functions, AKS, Service Bus, Event Grid, Cosmos DB, API Management, and Key Vault
- Experience with workflow orchestration platforms such as Temporal, Camunda, or Azure Durable Functions
- Strong programming experience with .NET/C#, Python, TypeScript, or Go
- Experience building APIs, event-driven architectures, microservices, and cloud-native applications
- Experience deploying AI or machine learning solutions into production environments
- Strong understanding of governance, security, auditability, and production operations for enterprise AI systems
- High-agency mindset with the ability to drive projects from architecture through implementation and production
Benefits
- Bonus
- Comprehensive Benefits
Company Overview