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AI Backend Engineer (Mid/Senior Level)

TymeHo Chi Minh City, Ho Chi Minh City, Vietnam
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Essential Skills: Backend Development: Minimum 4 years of experience in microservices development using Java, Spring Boot, or Python (FastAPI preferred). Microservices Expertise: Strong understanding of microservice architecture and communication protocols (e.g., REST API, Kafka). Cloud Computing: Proficient hands-on experience with AWS services (e.g., Lambda, DynamoDB, S3, MSK, API Gateway). AI Integration: Familiarity with AI/ML concepts and practical integration into backend systems. Problem-Solving: Excellent analytical skills with a pragmatic approach to solving technical challenges. Collaboration: Proven ability to work effectively in Agile and DevOps settings, collaborating with cross-functional teams. English Proficiency: Strong communication skills in English, both written and verbal.

About the job

About Us:

Become a part of our groundbreaking AI team at Tyme, where we are dedicated to developing and integrating AI-driven solutions within a modern banking ecosystem. Utilizing state-of-the-art technologies such as AWS Cloud, microservices, OpenAI, and event-driven architectures, we strive to deliver scalable, reliable, and efficient systems that transform financial services for our customers.

Role Overview:

In the capacity of an AI Backend Engineer, you will be instrumental in the design, development, and maintenance of backend services that empower AI-enhanced products and solutions. Your collaboration with cross-functional teams will ensure seamless integration of these solutions across various banking applications. This position requires a robust technical foundation in backend development, microservices, and cloud-based solutions, alongside a genuine interest in the application of AI in finance.

Responsibilities:

  • Develop AI applications and facilitate integration within Tyme’s ecosystem.
  • Work collaboratively with AI, data, and platform teams to incorporate AI models and solutions into a microservices architecture.
  • Implement microservice communication through REST APIs, event-driven mechanisms (e.g., Kafka, MSK, AWS Service Bus), and other integration tools.
  • Create and manage serverless applications utilizing AWS Lambda, Python, and FastAPI.
  • Architect, develop, and deploy backend services with a focus on scalability, performance, and reliability.
  • Ensure the security, performance, and scalability of services in distributed systems.
  • Address complex technical challenges associated with AI integration into banking systems.
  • Engage in code reviews, design discussions, and technical planning to uphold engineering excellence.
  • Monitor, troubleshoot, and optimize backend services using AWS tools like CloudWatch, X-Ray, and others.

About Tyme

At Tyme, we are on a mission to leverage cutting-edge technologies to revolutionize banking. Our innovative AI team is focused on creating reliable and efficient solutions that enhance financial services and provide exceptional customer experiences.

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