Job Description - Full Stack AI Developer
Position: Full Stack AI Developer
Type: Full-Time – On Site
Location: I-10/3, Islamabad
Timings: 3pm to 12am and 06 PM – 03 AM, Monday to Friday (Pakistan Time)
Department: .AI & Software Development.
We are looking for a versatile Full Stack AI Developer to build end-to-end AI-driven applications and workflows. This role requires designing, implementing, and maintaining systems that combine AI/LLM integration, backend automation, database management, and frontend dashboards. You will be responsible for orchestrating AI pipelines, managing data storage, deploying services, and creating intuitive interfaces for human-in-the-loop interactions.
Full Stack AI Developer at Marsons:
At Marsons, Developer is grounded in precision, consistency, and reliability. This means maintaining a structured testing approach, ensuring predictable outcomes, and verifying that all AI and software deliverables meet the highest quality standards. We value team members who are detail-oriented, tech-driven, and committed to continuous improvement, accuracy, and operational efficiency.
Experience integrating LLM/AI APIs into applications
Frontend experience with React, Next.js, or similar frameworks
Comfortable designing modular, maintainable, and scalable systems
2–5 years of experience in full stack development (backend frontend)
Understanding of state management, role-based views, and responsive UI
Hands-on experience with Python, Node.js, or similar for backend automation
Familiarity with deployment, environment variables, and basic DevOps practices
Strong experience with Postgres or Supabase database design and management
Experience – 2–5 years (full stack development with AI workflow focus)
Core Language – Python and/or Node.js (strong, hands-on for backend automation)
Framework – React / Next.js (component-based frontend architecture experience)
State Management – Redux, Zustand, or Context API experience for frontend dashboards
Database – Postgres / Supabase (schema design, storage, workflow data management)
AI Integration – LLM/API experience (OpenAI, Anthropic, Gemini, or similar)
Deployment – Cloud/VPS deployment, Docker, basic CI/CD workflow setup
Workflow – Human-in-the-loop workflow orchestration, role-based views, conditional branching
Profile Type – End-to-end system-oriented, AI-focused full stack engineer with automation and dashboard expertise
Interested in this role?