Senior Full-Stack Engineer

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Senior Full-Stack Engineer

Hybrid in Georgia, & 3 others

.NET& 2 others

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We are looking for a Senior Full-Stack Engineer to join our team, focusing on the development of a core module of a workforce intelligence platform in the EdTech business domain. The team operates in an AI-first / AI-native delivery model, leveraging an end-to-end agentic pipeline with human quality gates (architecture, correctness, security/privacy, performance, testing). If you are passionate about AI and eager to make a difference, we encourage you to apply.

Responsibilities

• Deliver end-to-end features across backend (C#/.NET) and frontend (React/TypeScript)

• Work in an AI-first agentic delivery pipeline (implementation/refactoring/testing/documentation) with human quality gates (architecture, correctness, security/privacy, performance)

• Build and evolve skills/agents/workflows in Claude Code CLI

• Deploy and operate microservices on AWS + Kubernetes

• Build React UI (feature-based architecture) with TypeScript/Vite, integrate REST APIs (contribute to OpenAPI), manage server state with React Query

• Ensure accessibility, test coverage, and participate in code reviews and technical discussions with cross-functional teams

Requirements

• 5+ years of professional software engineering experience with full-stack web application development

• Strong experience with C#/.NET, ASP.NET and modern backend application design

• Solid frontend development experience using React and TypeScript

• Experience designing and consuming RESTful APIs, including API contracts, versioning, and integration patterns

• Experience in event-driven integration on AWS

• Strong experience with AI-assisted software development workflows and modern engineering productivity tools

• Ability to modernize and migrate legacy C#/ASP.NET/ T-SQL applications to modern architectures and technology stacks

• Strong problem-solving, communication, and analytical skills

Nice to have

• Anthropic Claude Architect certification

• Practical experience integrating AI-powered capabilities, including LLMs, AI agents, or generative AI solutions

• Experience participating in architecture discussions, code reviews, and cross-functional collaboration