Senior Web Developer (AI-Augmented)

Accountabilities • Design, develop, and maintain scalable full-stack web applications across frontend and backend systems.

• Lead architecture discussions and drive implementation of key technical decisions.

• Build modern frontend experiences using React and TanStack, with a focus on performance, maintainability, and scalable component architecture.

• Develop modular, testable backend services using NestJS.

• Implement server-side rendering, static generation, and API routes using Next.js.

• Build and maintain cloud infrastructure and deployment workflows using AWS services such as Lambda, S3, CloudFront, and ECS/Fargate.

• Design and ship AI-powered product capabilities, including LLM integrations, RAG pipelines, tool/function calling, evaluations, and agentic workflows.

• Use AI coding assistants such as Claude Code, Cursor, Copilot, or similar tools to accelerate development, debugging, testing, and repetitive engineering tasks.

• Apply sound engineering judgment when reviewing AI-generated code, validating its correctness, security, maintainability, and production readiness.

• Collaborate with product, design, and engineering stakeholders to define requirements and deliver high-quality features.

• Maintain engineering quality through code reviews, automated testing, CI/CD practices, and thoughtful AI-assisted development workflows.

• Contribute to technical improvements that increase engineering velocity, system reliability, and product scalability.

Requirements

• 5+ years of professional web development experience.

• Demonstrated daily experience using AI coding tools such as Claude Code, Cursor, Copilot, Windsurf, or comparable solutions, with a clear understanding of when to rely on AI and when to override its output.

• Hands-on experience building production features using LLMs, including prompt or context engineering, tool use/function calling, RAG, evaluations, or agentic systems.

• Deep expertise in React, including performance optimization and scalable component architecture.

• Strong hands-on experience with TanStack tools, particularly React Query and TanStack Router.

• Solid experience developing modular and testable backend services with NestJS.

• Experience with Next.js, including SSR, SSG, API routes, and full-stack application development.

• Strong proficiency with AWS, particularly Lambda, S3, CloudFront, and ECS/Fargate.

• Strong understanding of modern CI/CD practices and containerized application environments.

• Strong technical judgment and attention to detail, particularly when evaluating AI-generated code for subtle errors, quality issues, and production risks.

• Ability to collaborate effectively with product, design, and engineering teams.

• Strong problem-solving and communication skills, with the ability to operate independently in a remote environment.

• Experience with MCP servers, agent frameworks such as LangGraph or CrewAI, or evaluation harnesses is a plus.

• Background in healthcare, HIPAA, or telehealth platforms is an advantage.

• Experience with microservices or event-driven architectures is beneficial.

• Familiarity with infrastructure-as-code tools such as Terraform or AWS CDK is a plus.

• Contributions to open-source projects, AI-focused side projects, or a public development blog are valued.

• Experience mentoring junior developers and helping teams adopt AI-assisted engineering practices responsibly is an advantage.

Benefits

• Fully remote work arrangement.

• Full-time employment.

• Opportunity to work with modern web technologies including React, TanStack, NestJS, Next.js, and AWS.

• Hands-on exposure to production AI technologies, including LLMs, RAG, agentic workflows, and AI development tooling.

• Opportunity to contribute to architecture and major technical decisions.

• Collaborative environment spanning product, design, and engineering.

• Healthcare-focused industry environment.

• Opportunity to develop and apply modern AI-augmented engineering practices.

• Additional benefits and employment terms may be provided by the hiring organization.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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