Full-Stack Developer (.NET/C# + React/Vue)

Solvd is an AI-first advisory and digital engineering firm delivering measurable business impact through strategic digital transformation. Taking an AI-first approach, we bridge the critical gap between experimentation and real ROI, weaving artificial intelligence into everything we do and helping clients at all stages accelerate AI integration into each process layer. Our mission is to empower passionate people to thrive in the era of AI while maintaining rigorous ethical AI standards. We’re supported by a global team with offices in the USA, Poland, Ukraine and Georgia. 
We are looking for a Full-Stack Developer to join our team.

Responsibilities:

• Develop and maintain AI-related applications, including data pipelines and model integrations.
• Develop applications in .NET core.
• Work with React/Vue.js on front-end, c# on backend. 
• Work with SQL to query and manipulate structured data.
• Implement event-driven architectures using Azure services (Event Grid, Azure Functions, etc.).
• Collaborate with data engineers and analysts to support AI model development.
• Deploy and monitor AI solutions in Azure environments.

Mandatory requirements:

• Backend: Strong experience creating applications in .Net core, C#.
• React/Vue.js Expertise: Some experience with creation of user interfaces in React or Vue.js is required.
• SQL Skills: Ability to query, manipulate, and analyze structured data.
• Azure Services: Experience with event-driven architectures and cloud functions in Azure.
• Git Version Control: Proficiency in Git for collaboration and version control.
• API Development: Ability to integrate AI models and data pipelines using APIs.
• Proficiency with AI Productivity Enablement tools: Candidate should actively use AI-curious and use AI tools to boost their productivity - ChatGPT, Claude or other AI tools. Experience using AI-powered development tools like GitHub Copilot or ChatGPT.

Optional requirements:

• DBT and Snowflake: Understanding of data transformations in a cloud environment.
• CI/CD Pipelines: Basic knowledge of CI/CD for automating deployment.
• Some experience/background with Python and data science is a plus.