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Oct 22, 2026 7 hr. ago

.Net Fullstack With AI

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Oct 22, 2026 7 hr. ago

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algoleap.zohorecruit.com .Net Fullstack With AI

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Hiring a Senior Full Stack Engineer to design, build, and operate secure, scalable products and integrations across our global mobility platform. You will deliver hands-on engineering across Next.js and React front ends and C# and .NET services running on Microsoft Azure, operating in a regulated, global environment. This role is for an experienced engineer who can own end-to-end features, contribute to architectural decisions, and consistently deliver production-ready solutions using agentic development practices including spec-driven development and agent-driven development with tools such as Claude Code and Codex. You will build AI-native products and workflows, integrating AI capabilities directly into the applications and services you deliver

•Build and evolve modern web experiences using Next.js, React, and TypeScript with a focus on performance, reliability, and usability.

•Design and implement backend services and APIs using C#, .NET, and WebAPI, including integrations that support payroll, tax, and immigration workflows.

•Deliver Azure-native implementations using Microsoft PaaS services, secure patterns, and operational best practices.

•Contribute to system architecture and technical design, including integration patterns using REST and event-driven approaches.

•Own production readiness for your work including logging, monitoring and alerting, incident response support, and operational documentation.

•Apply secure development practices appropriate for regulated environments including privacy, auditability, and data protection.

•Partner with product, implementation, and client-facing teams to translate requirements into technical plans and deliverables.

•Use agentic development practices including agent-driven development with Claude Code, Codex, or similar AI coding agents to accelerate design, implementation, testing, and operations across the SDLC.

•Work in a spec-driven development workflow, authoring detailed specifications that guide both human and AI agent implementation, translating clear requirements into predictable delivery and maintainable code.

•Design and implement AI-powered features within products including prompt engineering, LLM integration, retrieval-augmented generation (RAG) patterns, and AI-assisted user workflows.

•Evaluate, integrate, and operationalize AI APIs, models, and toolchains within application architectures, ensuring responsible AI usage, cost management, and observability.

•Mentor and support other engineers through code reviews, pairing, and technical guidance.

Required Qualifications

•5+ years professional software development experience building enterprise web applications and services.

•Strong experience designing and building large JavaScript applications with Next.js and or React (TypeScript, state management, performance optimization).

•Strong backend development experience in C# and .NET (ASP.NET, WebAPI, MVC) including API design and service patterns.

•Proven experience with Microsoft Azure designing and building cloud solutions using PaaS services, frameworks, and operational tooling.

•Experience delivering systems in regulated or compliance-oriented environments (security controls, auditability, privacy, data handling).

•Strong engineering fundamentals including design patterns, separation of concerns, scalable architecture, and pragmatic trade-offs.

•Experience with agentic or AI-assisted development workflows such as spec-driven development, agent-driven development using tools like Claude Code or Codex, or similar AI coding agent practices.

•Demonstrated ability to build products that incorporate AI capabilities including prompt design, LLM API integration, or AI-augmented user experiences.

Preferred Qualifications

•Azure certifications and/or Microsoft certifications.

•Experience with event-based and distributed systems including messaging and asynchronous workflows.

•Data and persistence experience with SQL Server and ORMs (Entity Framework, Hibernate) plus caching strategies.

•Strong testing discipline including TDD and BDD, xUnit, Jest or Mocha, CI/CD automation, and quality gates.

•Experience building analytics and reporting with BI and data visualization tools and domain-specific reporting.

•Exposure to mobile ecosystems (iOS and Android) and API design supporting mobile clients.

•Experience with prompt engineering patterns, RAG architectures, vector databases, or AI orchestration frameworks (e.g., LangChain, Semantic Kernel, Azure AI Services).

•Familiarity with AI code generation and review workflows, including evaluating and curating AI-generated code for production readiness.

•Experience contributing to or building AI-augmented internal tools, developer experience tooling, or intelligent automation within engineering workflows.

Technical Skills We Value

•Frontend: Next.js, React, TypeScript, HTML, CSS, SPA architecture, performance and accessibility

•Backend: C#, ASP.NET, WebAPI, RESTful design, authentication and authorization patterns

•Cloud: Azure PaaS services, observability, secure networking, identity, deployment automation

•Engineering practices: Git-based workflows, secure SDLC, spec-driven development, AI-assisted code reviews, automated testing, documentation

•AI-enabled delivery: agentic development using Claude Code, Codex, or similar AI coding agents; spec-driven development workflows; prompt engineering; LLM API integration; RAG patterns; AI orchestration frameworks; responsible AI practices and observability

What Success Looks Like

•Delivers complex features end-to-end with high quality, predictable timelines, and production readiness.

•Produces clean, maintainable code—whether hand-written or AI-generated—with strong test coverage and clear documentation.

•Identifies and resolves performance, reliability, and security issues before they reach production.

•Contributes meaningfully to architecture and raises standards through code reviews and technical leadership.

•Communicates clearly, flags risks early, and collaborates effectively across teams.

•Effectively leverages agentic development tools and AI-augmented workflows to increase velocity while maintaining quality and security standards.

Education

•Bachelor’s degree in Computer Science, Engineering, or related field required.

•Master’s degree preferred.

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