Dotnet Developer

We’re looking for a mid-level developer who’s passionate about applying AI and large language models (LLMs) to real-world enterprise software challenges. You’ll play a hands-on role in both integrating AI features into our product and leveraging AI tools for software development itself.

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What You’ll Do

• Develop and maintain core product features in C#.NET (backend) and React (frontend).

• Collaborate on our AI integration layer, primarily written in Python, which powers intelligent features across the app.

• Experiment with and implement AI use cases - e.g., natural language query interfaces, smart data extraction, automated reporting, and workflow assistance.

• Use LLMs and AI tools (like GitHub Copilot, OpenAI APIs, etc.) to assist with design, coding, and refactoring.

• Work with the R&D team to prototype, evaluate, and productionize AI-enhanced modules.

• Contribute to system architecture discussions, ensuring performance, scalability, and reliability remain top priorities.

• Participate in code reviews, sprint planning, and technical documentation.

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What We’re Looking For

Core Technical Skills

• Experience with C#/.NET and React/TypeScript.

• Working knowledge of Python, especially for data processing or AI workflows.

• Familiarity with LLM APIs (e.g., OpenAI, Anthropic, Azure OpenAI, Hugging Face, etc.).

• Understanding of REST APIs, cloud services (AWS, Azure, or GCP), and database systems (SQL or NoSQL).

AI-Specific Skills

• Experience building or integrating features that use generative AI or LLMs.

• Curiosity and capability to experiment with AI-assisted development tools (like Copilot, Code Interpreter, or fine-tuned models).

• Awareness of prompt engineering, retrieval-augmented generation (RAG), or vector databases (a plus).

Soft Skills

• Enthusiastic about learning new technologies and pushing creative AI boundaries.

• Comfortable in a collaborative, fast-moving environment.

• Strong problem-solving and communication abilities.

• Self-motivated - able to explore, test, and document new AI approaches.

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Nice-to-Haves

• Experience with LangChain, Semantic Kernel, or OpenAI function calling.

• Exposure to enterprise SaaS or commercial real estate tech.

• Some background in data science, analytics, or NLP.

• Familiarity with Docker, CI/CD pipelines, and cloud deployments.

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Why Join Us

• Work at the intersection of enterprise systems and applied AI.

• Collaborate with a team that values innovation, autonomy, and growth.

• Influence how a mature software platform evolves with cutting-edge AI capabilities.

• Hybrid or remote flexibility depending on location.