Full Stack Engineer (AI-Driven Products)

About the Role

We are looking for a Full Stack Engineer with a strong interest in AI to join a high-impact environment focused on building scalable and innovative digital products.

This role is ideal for engineers who combine solid technical foundations with curiosity for AI, and who are motivated to contribute beyond just coding-taking ownership of real product development from early stages.

You will work on full-stack applications while exploring how AI can enhance product capabilities, automation, and overall user experience.

Key Responsibilities:

• Design, develop, and maintain full-stack applications (frontend + backend)
• Contribute to building scalable SaaS products from early-stage concepts
• Explore and integrate AI tools, APIs, and capabilities into applications
• Participate in technical decision-making and architecture discussions
• Deliver clean, maintainable, and efficient code
• Collaborate with cross-functional teams in a fast-paced environment

Must have:

• Experience as a Full Stack Developer
• Strong knowledge of:
  • JavaScript / TypeScript
  • React (Frontend)
  • Node.js (Backend)
  • Solid understanding of software engineering fundamentals
  • Bachelor’s degree in Engineering or related field
  • Strong problem-solving and analytical skills
  • Ability to work independently and take ownership
  • Professional mindset and commitment to quality delivery

Nice to Have (Highly Valuable):

• Python (especially for scripting, data handling, or AI-related tasks)
• Experience with AI tools, APIs, or frameworks (e.g., OpenAI, LangChain, etc.)
• Experience with modern frameworks and tools such as:
  • Next.js (SSR - Server-Side Rendering, SSG - Static Site Generation)
  • NestJS (structured backend framework for Node.js)
  • Express.js / Fastify
  • Experience working with:
    • RESTful APIs and/or GraphQL
    • Databases (SQL and/or NoSQL)
    • Experience building or contributing to SaaS products
    • Familiarity with cloud platforms (AWS, Azure, or similar)

Soft Skills (Critical for Success):

• Strong ownership and accountability
• Proactive and execution-focused (“doers”)
• Genuine interest in learning and applying new technologies (especially AI)
• High level of professionalism and reliability
• Team-oriented with strong communication skills
• Motivated to contribute meaningfully (not just looking to add another job)