Senior .NET Backend / API Integration Engineer – Conversational AI Orchestration

Location: Eton Centris, Quezon Avenue, Quezon City

Work Setup: Full onsite or hybrid (to be confirmed)

Schedule: Mid to night shift, with at least 2 hours of daily overlap with US Central Time

Salary: Up to ₱150,000

Experience: Minimum 8 years (required)

Headcount: 1

Job Description

We are looking for an experienced Senior .NET Backend / API Integration Engineer to join a healthcare Conversational AI project. The role focuses on developing and maintaining backend services, APIs, and systems that connect AI agents, voice platforms, and live customer support teams.

Key Responsibilities

- Design, develop, and maintain backend applications using C#, ASP.NET Core, and Entity Framework.

- Build and manage APIs and integrations with third-party AI, voice, and healthcare platforms.

- Develop systems that coordinate multiple AI agents and handle transfers to live agents.

- Ensure secure API authentication and authorization.

- Lead and mentor developers, conduct code reviews, and maintain coding standards.

- Work closely with architects, QA, DevOps, and business teams.

- Perform testing, troubleshoot technical issues, and improve system performance.

Qualifications and Requirements

- College graduate.

- At least 8 years of software development experience using .NET technologies, particularly backend development.

- Strong knowledge of C#, ASP.NET Core, Web API, and Entity Framework.

- Hands-on experience in API development, integrations, and microservices.

- Experience with REST APIs, webhooks, WebSockets, OAuth 2.0, and JWT.

- Experience with Agile/Scrum and AI-assisted development tools.

- Proven experience leading or mentoring development teams.

- Basic understanding of AI applications and tools such as GitHub Copilot and Claude.

Nice to Have

- Experience with contact center, IVR, and live-agent call transfers.

- Familiarity with AI platforms such as Azure OpenAI and Semantic Kernel.

- Experience with Azure Service Bus, Kafka, or similar technologies.

Application Process

1. Paper Screening

2. Level 1 Interview

3. Client Interview