Senior .NET Developer (AI/LLM)

OurAssistants · Philippines · posted today ago

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About this role

Location: Work from Home
Type of Employment: Full-time
Work Shift: UK Business Hours

About Us

At OurAssistants, we connect logistics, property management, and service-based businesses with top-tier virtual professionals. We're committed to supporting our clients operations while creating a growth-focused, remote-friendly work environment for our team members. Learn more at .

Job Title: .NET Developer (AI/LLM Experience)

About the Role

We’re looking for a skilled .NET Developer who is equally excited about building robust applications and exploring how AI and Large Language Models (LLMs) can transform the way we develop software and deliver value to our customers. You’ll work on modern .NET applications while also designing and implementing solutions that leverage AI/LLM technologies.

This is a great opportunity for someone who loves clean code, scalable systems, and pushing the boundaries of what’s possible with emerging AI tools.

Responsibilities

Design, develop, and maintain applications using .NET Core/.NET 6+.
Collaborate with product and engineering teams to deliver high-quality, secure, and scalable solutions.
Integrate and extend AI/LLM capabilities (e.g., OpenAI, Anthropic Claude, Azure OpenAI) into our platform and workflows.
Explore and adopt AI-assisted coding practices (Claude Code, GitHub Copilot, etc.) to boost productivity and quality.
Build APIs and services that can interact with AI models for automation, insights, or customer-facing features.
Write unit/integration tests and ensure delivery of reliable, maintainable code.
Stay curious about emerging AI technologies and bring forward ideas for how they can improve our products and engineering process.

Requirements

Strong experience with C#, .NET Core/.NET 6+, and related frameworks.
Proficiency in designing and consuming RESTful APIs (GraphQL a plus).
Solid understanding of software engineering best practices (testing, CI/CD, version control, design patterns).
Experience with cloud platforms (Azure, AWS, or GCP).
Exposure to relational databases (SQL Server, PostgreSQL, etc.).
Familiarity with AI/LLM integrations, such as calling model APIs, fine-tuning, or embedding AI features into applications.
Hands-on use of AI coding assistants to accelerate development.