Senior Full-Stack Software Developer (AI Engineer)

Ampstek is seeking a Senior Full-Stack Software Developer with a focus on AI-augmented engineering. The role involves designing, building, and maintaining enterprise-grade web applications and APIs while leveraging modern web development and AI tools.

Responsibilities:

• Design, develop, and maintain scalable web applications across the front end and back end — working across multiple languages and frameworks as project needs dictate — ensuring high performance, reliability, and clean architecture
• Build and maintain RESTful and/or GraphQL APIs in various languages and frameworks, with a focus on security, versioning, and developer experience
• Architect and deploy solutions on Microsoft Azure, leveraging services such as Azure App Service, Azure Functions, Azure Container Apps, Azure DevOps, Azure API Management, and Azure SQL/Cosmos DB
• Incorporate AI code assistants (Claude Code, GitHub Copilot, Cursor, etc.) into your daily workflow for code generation, refactoring, testing, debugging, and documentation. Champion best practices for effective AI-assisted development across the team
• Mentor junior and mid-level developers, lead code reviews, and contribute to architectural decisions. Establish and advocate for coding standards, patterns, and tooling that raise the quality bar
• Design and maintain automated build, test, and deployment pipelines using Azure DevOps, GitHub Actions, or equivalent platforms
• Collaborate closely with product managers, designers, QA engineers, and stakeholders to translate business requirements into well-engineered technical solutions
• Stay current with emerging web technologies, AI development tools, and cloud services. Evaluate and introduce new tools and practices that improve team velocity and code quality

Requirements:

• 7+ years of professional software development experience, with at least 4 years in a full-stack capacity
• Deep expertise in at least one modern language — JavaScript/TypeScript, Python, C#/.NET, Java, or Go — with a strong grasp of software engineering fundamentals (design patterns, data structures, testing, performance) that transfer across languages
• Comfortable working across unfamiliar languages and frameworks by leveraging AI code assistants to accelerate learning and maintain production-quality output. You don't need to be an expert in every language; you need to be expert enough with AI tooling that the language is not the bottleneck
• Strong proficiency with at least one major JavaScript framework (such as React, Angular, or Vue.js) including state management, component architecture, and modern build tooling
• Proven experience building server-side applications and APIs in one or more languages (Node.js, Python, .NET, Java, Go), with an emphasis on clean design, security, and developer experience
• Hands-on experience architecting and deploying applications on Microsoft Azure, with a solid understanding of core services (compute, storage, networking, identity, and security)
• Demonstrated, hands-on experience using AI-powered development tools (Claude Code, GitHub Copilot, Cursor, Windsurf, or similar) as an integrated part of your development process — not just casual experimentation
• Experience with both relational (SQL Server, PostgreSQL) and NoSQL (Cosmos DB, MongoDB) databases, including data modeling and query optimization
• Proficiency with Git workflows and experience building CI/CD pipelines
• Excellent written and verbal communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences
• Microsoft Azure certifications (e.g., AZ-204, AZ-305, AZ-400)
• Experience with containerization (Docker) and orchestration (Kubernetes, Azure Container Apps)
• Familiarity with infrastructure-as-code tools (Terraform, Bicep, ARM templates)
• Experience building or integrating AI/ML features into applications (e.g., Azure OpenAI Service, LangChain, LangGraph, AI agents)
• Background in Agile/Scrum methodologies and working within sprint-based delivery teams
• Contributions to open-source projects or published technical writing
• Experience with observability and monitoring tools (Datadog, Application Insights, Grafana)