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Full Stack Developer (AI)

EdgeQ Technologies Private Limited · Remote, United States

Source: Himalayas

Spotted 3d agoFull-time

Job details

Pay
$80,000 – $150,000 a year
Work mode
Remote
Employment
Full-time
Experience
1+ year
Education
Bachelor's degree
Posted
Oct 26, 2026
Last confirmed open
Oct 26, 2026
Job description

About this role

Full Stack Developer (AI) Job Title: Full Stack Developer (AI) Job Type: Full-Time Work Mode: Fully Remote Experience: 1–7 Years Salary: $80,000–$150,000 per year Location: Remote – United States Job Locations (US) Austin, Texas Dallas, Texas New York, New York San Francisco, California Seattle, Washington Job Overview We are seeking a talented Full Stack Developer (AI) to design, develop, and deploy scalable web applications powered by artificial intelligence.

The ideal candidate will have experience building modern frontend interfaces, robust backend services, and AI-powered features using APIs, machine learning models, and large language models (LLMs). This is a fully remote opportunity for a motivated developer who enjoys solving complex problems and building innovative AI-driven products.

Key Responsibilities

  • Develop responsive web applications using modern frontend and backend technologies.
  • Build and maintain RESTful APIs and scalable backend services.
  • Integrate AI models, LLMs, and third-party AI APIs into web applications.
  • Develop AI-powered chatbots, automation tools, and intelligent workflows.
  • Design and manage databases, authentication, and application security.
  • Optimize application performance, scalability, and reliability.
  • Collaborate with product managers, designers, and engineering teams.
  • Write clean, maintainable, well-documented code.
  • Test, debug, and deploy applications using CI/CD pipelines.
  • Stay updated on emerging AI technologies and full-stack development trends.
  • Required Skills Frontend: JavaScript, TypeScript, React.js, Next.js, HTML5, CSS3, Tailwind CSS.

Backend

Node.js, Python, Express.js, FastAPI.

AI & LLMs

OpenAI APIs, LLM integration, prompt engineering, RAG fundamentals, AI agents, and embeddings.

Databases

PostgreSQL, MySQL, MongoDB, or Supabase.

APIs

REST APIs, JSON, third-party integrations, and authentication.

Cloud & DevOps

AWS, Azure, or Google Cloud; Docker; Git; CI/CD.

Development Practices

Responsive design, debugging, testing, and secure coding.

Qualifications

  • 1–7 years of experience in full-stack web development.
  • Hands-on experience building frontend and backend applications.
  • Familiarity with integrating AI models and APIs into production applications.
  • Understanding of database design, API development, and application architecture.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work independently and collaborate effectively in a remote team.
  • A bachelor's degree in Computer Science or a related field is preferred, or equivalent practical experience.

Preferred Qualifications

  • Experience with Retrieval-Augmented Generation (RAG) and vector databases.
  • Familiarity with LangChain, LlamaIndex, or similar AI frameworks.
  • Experience deploying scalable AI-powered SaaS applications.
  • Knowledge of monitoring, logging, and application performance optimization.

Benefits

  • Fully remote work environment.
  • Competitive annual salary.
  • Flexible working arrangements.
  • Opportunities to work on innovative AI products.
  • Professional development and career growth opportunities.
  • Collaborative and technology-focused work culture.
  • How to Apply Interested candidates should submit an updated resume highlighting their full-stack development experience, AI integrations, technical skills, and relevant projects.

Equal Opportunity

Employer: We welcome qualified candidates from diverse backgrounds and evaluate applicants based on their skills, experience, and qualifications.

Salary Note

The $80,000–$150,000 annual range is an illustrative estimate for this job description, not a verified employer salary or a confirmed offer. Actual compensation depends on experience, skills, employer, and location. The listed cities are example US locations for a fully remote role; candidates should confirm any geographic or state-specific hiring restrictions.

Originally posted on Himalayas

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