Full Stack Developer (AI)

Full Stack Developer (AI)

Job Locations (US)

• Austin, Texas
• Dallas, Texas
• New York, New York
• San Francisco, California
• Seattle, Washington

Job Overview

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.