Jobgether

Senior Web Developer (AI-Augmented)

Jobgether

Remote · Full Time

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Experience
5+ yrs
Salary
—
Openings
1
Posted
3 days ago
Work mode
Work from home
Resume
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Job description

About the Role

This opportunity is for a Senior Web Developer skilled in AI-augmented software engineering, working remotely from Saudi Arabia. The position involves building scalable, full-stack web applications by leveraging both frontend and backend expertise, combined with advanced AI technologies.

Key Responsibilities

  • Design and implement scalable web applications covering frontend and backend functionalities.
  • Lead architectural design and execute major technical decisions.
  • Develop performant, maintainable frontend components using React and TanStack technologies.
  • Create modular and test-friendly backend services with NestJS.
  • Implement Next.js features including server-side rendering, static site generation, and API routes.
  • Manage cloud infrastructure and deployment workflows using AWS Lambda, S3, CloudFront, and ECS/Fargate.
  • Develop AI-powered product capabilities such as LLM integrations, RAG pipelines, function/tool calling, and agentic systems.
  • Utilize AI coding assistants daily to accelerate development, debugging, testing, and automation.
  • Review AI-generated code rigorously to ensure its accuracy, security, maintainability, and readiness for production.
  • Collaborate closely with cross-functional teams including product and design to define and deliver high-quality features.
  • Maintain software quality through practices like code reviews, automated testing, and continuous integration/deployment, enhanced by AI-assisted workflows.
  • Drive technical improvements aimed at boosting engineering efficiency, reliability, and scalability.

Candidate Requirements

  • Minimum of five years of professional experience in web development.
  • Proficient daily user of AI coding tools such as Claude Code, Cursor, Copilot, or similar, with strong discernment on when to utilize or override AI output.
  • Hands-on expertise with production-ready LLM features, including prompt/context engineering, tool/function calling, RAG pipelines, evaluations, and agentic workflows.
  • Advanced React skills focused on performance tuning and scalable component architectures.
  • Extensive experience with TanStack libraries, especially React Query and TanStack Router.
  • Solid backend development capabilities using NestJS to create modular, testable services.
  • Experience working with Next.js for server-side rendering, static site generation, API handling, and full-stack development.
  • Strong command over AWS cloud services, including Lambda, S3, CloudFront, and ECS/Fargate.
  • Fluent understanding of modern CI/CD pipelines and containerized cloud environments.
  • Excellent technical judgment for evaluating AI-generated code, catching subtle flaws, security vulnerabilities, and ensuring production quality.
  • Ability to work effectively in a remote setup while collaborating with product, design, and engineering teams.
  • Strong problem-solving skills and effective communication.
  • Experience or interest in MCP servers, agent frameworks like LangGraph or CrewAI, and evaluation tools is a plus.
  • Background in healthcare, HIPAA compliance, or telehealth platform development is beneficial.
  • Knowledge of microservices architecture or event-driven designs is advantageous.
  • Familiarity with infrastructure-as-code tools such as Terraform or AWS CDK is a plus.
  • Contributions to open-source, AI-related projects, or maintaining a public development blog are valued.
  • Experience mentoring junior developers and guiding teams in responsible AI-assisted engineering practices is an asset.

Benefits

  • Fully remote work arrangement.
  • Full-time employment with extended involvement in cutting-edge web technologies including React, TanStack, NestJS, Next.js, and AWS.
  • Direct experience in production AI technologies such as LLMs, RAG pipelines, agentic workflows, and AI-enhanced developer tools.
  • Opportunity to influence architecture and key technical choices in a collaborative environment working closely with product, design, and engineering teams.
  • Exposure to the healthcare industry environment.
  • Chance to adopt and advance modern AI-augmented engineering methodologies.
  • Additional employment benefits as determined by the hiring organization.

Additional Information

The hiring process is managed by the partner company, which handles application reviews and next hiring steps. Candidates are matched through an AI-driven system to ensure objective and swift evaluation based on core requirements. Final selection decisions rest with the employer. Candidate personal data is processed in compliance with applicable regulations. AI tools may assist in reviewing applications but do not replace final human judgment.

Level

Senior

Tools & software

Generative AI Tools React Amazon Elastic Container Service ECS required AWS CloudFront required AWS S3 required AWS Lambda · 2 to 5 years required

How they work

Communication Teamwork & Collaboration Problem Solving Decision Making Independence

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