Full stack AI Engineer

JD:

Technical Skills
 

• Frontend: React, TypeScript, Next.js, design systems (e.g. Figma-based, token-driven)
• Backend: Python, Node.js, Java, .NET Core, C#
• Databases: SQL, NoSQL (Postgres, MongoDB)
• Data Technologies: AWS-native tools (DynamoDB, Aurora, S3, Glue, Athena, Redshift)
• Architecture: Microservices, event-driven systems, distributed design
• Cloud: AWS (e.g. Certified Developer/Architect), Azure
• DevOps: GitHub Actions, Jenkins
• Containers: Docker, Kubernetes
• Security: Secure-by-design systems, threat modelling
• Testing: Unit, regression, contract testing, CI/CD automation
• Observability: Prometheus, Grafana, OpenTelemetry (if relevant)
  
   

AI & Emerging Technology
 

• Understand how AI and machine learning can enhance software engineering workflows and productivity
• Have experience or interest in building AI-assisted engineering tools or AI-integrated applications (e.g., using LangChain, LlamaIndex, or GenAI APIs)
• Use AI-powered coding assistants like GitHub Copilot, Cursor, Continue, or Aider in day-to-day development
• Are curious about agentic systems and AI experimentation in real-world product environments