Backend Engineer with Python or Node.js

We are now seeking a Backend Engineer to join one of our client projects focused on building scalable, intelligent systems that redefine customer engagement. You’ll play a key role in designing cloud-native services, integrating AI-driven APIs, and ensuring that the platform is reliable, high-performing, and ready for large-scale usage.
 

The team is developing a next-generation platform for customer engagement powered by generative AI. The solution enables travel and lifestyle companies to deploy intelligent, always-available digital agents that provide personalized support and seamless brand interactions at scale. By combining advanced GenAI models with a proprietary learning engine and deep integration into business systems, the platform helps brands create efficient, consistent, and meaningful conversations with their customers.
 

You Have

• At least 4 years of professional experience in backend development with Python (FastAPI) or Node.js
• Strong knowledge of PostgreSQL: schema design, indexing, query optimization, and advanced SQL logic
• Hands-on experience designing and deploying applications on AWS (ECS, Lambda, API Gateway, S3)
• Proven ability to integrate AI/ML APIs (OpenAI, AWS Bedrock, Gemini) into real-world solutions
• Solid understanding of distributed systems, asynchronous processing, and designing for scalability, availability, and resilience
• Experience working with event-driven architectures and message-driven workflows
• Familiarity with system design trade-offs: database models, caching, consistency, modular API boundaries
• Knowledge of observability tools (CloudWatch, Datadog, Sentry) and best practices for building operational visibility into systems
• Strong foundation in engineering practices: unit/integration testing, CI/CD pipelines, Git workflows
• Comfortable working in agile, iterative development environments with regular reviews and team discussions
• Excellent communication skills and the ability to clearly document and explain technical decisions
• Experience using AI coding assistants (e.g., Cursor, GitHub Copilot, or similar) in day-to-day development tasks
   

Would be a plus

• Familiarity with travel APIs or booking platforms • Experience with prompt engineering or GenAI workflows (e.g., RAG pipelines)
• Background in AI-powered product development, such as LLMs or recommendation systems in production 
• Knowledge of AI observability practices for monitoring model performance, latency, and drift
• Experience building AI-powered solutions or integrating AI pipelines/APIs into software projects
   

You Are Going To

• Participate in the full software development lifecycle, from planning and architecture to development, deployment, and monitoring
• Design and implement backend services and microservices with Python (FastAPI) or Node.js
• Build efficient queries and scalable data models in PostgreSQL, ensuring high performance under load 
• Develop and operate cloud-native infrastructure on AWS, leveraging services like ECS, Lambda, API Gateway, and S3
• Integrate AI/ML APIs (OpenAI, AWS Bedrock, Gemini) to enable conversational features and automation 
• Collaborate with product managers and engineering teams to deliver impactful solutions
• Contribute to architecture design sessions, code reviews, and continuous process improvements
• Ensure systems are reliable, observable, and optimized for long-term maintainability