Your Responsibilities

1. Rapid Prototyping & Full-Stack Development

• Design, develop, and maintain modern web applications and APIs using
  TypeScript, Next.js, and Node.js.
• Drive features from prototype to MVP to production, ensuring efficiency and
  scalability.

2. AI & ML Collaboration

• Partner with ML/AI engineers to integrate advanced AI features.
• Use AI-assisted coding tools (e.g., GitHub Copilot) to accelerate development
  while maintaining best practices.

3. AWS & Scalable Architectures

• Contribute to a large AWS-based infrastructure with serverless and event-driven
  patterns (e.g., Lambda, SQS, API Gateway).
• Ensure high performance, security, and reliability in a microservices-oriented
  environment.

4. Quality & Compliance

• Implement automated tests (unit, integration, end-to-end) and maintain code and service quality.

Key Advantages

1. High-Impact, Nimble Team

• Join a small, senior group with a direct mandate to drive innovation and
  company-wide KPIs.
• Enjoy the creative freedom to propose and test new ideas in a fast-moving
  environment.

2. Cutting-Edge AI Tools & Experimentation

• Actively encouraged to explore the latest AI-empowered development tools and
  workflows.
• Collaborate with ML/AI experts to gain hands-on experience in deploying models
  to production.

3. Professional Growth & Autonomy

• Take full ownership of projects, from initial concept to deployment.
• Work in a setting that values continuous learning, rapid iteration, and personal
  development.

Your Background

Education & Experience

• Bachelorʼs in Computer Science, Engineering, or related field (or equivalent
  practical experience).
• 4+ years of full-stack experience, ideally in SaaS, fintech, or E-commerce.
• Startup or entrepreneurial background and mindset is a plus.

Technical Skills

• Proficient in TypeScript, Next.js, and Node.js.
• Contributed to cloud infrastructures of substantial size, preferably in AWS.
• Experience with serverless/event-driven architectures.
• Experience with Docker and CI/CD.
• Experience with Kubernetes is a plus.
• Familiarity with DevOps or SRE practices (monitoring, logging, observability) is
  beneficial.

AI/ML Exposure

• Hands-on experience with AI-assisted coding (e.g., GitHub Copilot).
• Basic understanding of ML fundamentals; deployment of models in production is
  a plus.

Soft Skills

• Strong communication and problem-solving abilities.
• Eagerness to iterate quickly and adapt to new tools and technologies.
• Go-getter attitude and willingness to learn and grow.