Senior AI Backend Engineer at TymeX

Ho Chi Minh City, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

03 Jun, 26

Salary

0.0

Posted On

05 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Development, Microservices, Java, Spring Boot, Python, FastAPI, REST API, Kafka, AWS Lambda, AWS Cloud, AI Integration, Scalability, Performance, Reliability, Code Reviews, DevOps

Industry

Software Development

Description

About Us: Join our innovative AI team, where we build and integrate AI-powered solutions into a banking ecosystem using cutting-edge technologies such as AWS Cloud, microservices, OpenAI, and event-driven architectures. We focus on delivering scalable, reliable, and efficient systems that redefine financial services for our customers. Role Overview: As an AI Backend Engineer, you will play a key role in designing, developing, and maintaining backend services to support AI-driven products and solutions. You’ll work closely with cross-functional teams to integrate these solutions seamlessly into various banking applications. This role demands strong technical expertise in backend development, microservices, and cloud-based solutions, as well as a keen interest in AI and its applications in the financial domain. Responsibilities: Build AI application and provide integration for other system, application in Tyme’s eco system Collaborate with AI, data, and platform teams to integrate AI models and solutions into microservices architecture. Implement microservice communication using REST APIs, event-driven mechanisms (e.g., Kafka, MSK, AWS Service Bus), and other integration tools. Develop and maintain serverless applications using AWS Lambda, Python, and FastAPI. Design, develop, and deploy backend services with a focus on scalability, performance, and reliability. Ensure the security, performance, and scalability of services across distributed systems. Solve complex technical challenges related to AI integration into banking systems. Participate in code reviews, design discussions, and technical planning to uphold high engineering standards. Monitor, troubleshoot, and optimize backend services using AWS services like CloudWatch, X-Ray, and other monitoring tools. Must-Have Skills: Backend Development: At least 4 years of experience in developing microservices using Java, Spring Boot, or Python (FastAPI preferred). Microservices Expertise: Understanding of microservice architecture and communication protocols (e.g., REST API, Kafka). Cloud Computing: Hands-on experience with AWS services (e.g., Lambda, DynamoDB, S3, MSK, API Gateway). AI Integration: Familiarity with AI/ML concepts and their practical integration into backend systems. Problem-Solving: Strong analytical skills with a pragmatic approach to tackling technical challenges. Collaboration: Ability to work effectively in Agile and DevOps environments, collaborating with cross-functional teams. English Proficiency: Communication skills in English, both written and verbal. Nice-to-Have Skills: Experience in using AI like ChatGPT, Claude or self hosted AI model Experience with LangChain, OpenAI, Hugging Face, or similar LLM frameworks. Knowledge of event-driven architecture and distributed systems. Proficiency with automated testing frameworks and CI/CD pipelines. Meal and parking allowance are covered by the company Full benefits and salary rank during probation Insurances as Vietnamese labor law and premium health care for you and your family without seniority compulsory Performance bonus up to 2 months 13th month salary pro-rata 15-day annual leave+ 3-day sick leave + 1 birthday leave + 1 Christmas leave SMART goals and clear career opportunities (technical seminar, conference, and career talk) – we focus on your development Values-driven, international working environment, and agile culture Overseas travel opportunities for training and working related Internal Hackathons and company’s events (team building, coffee run, blue card…) Work-life balance 40-hr per week from Mon to Fri

Responsibilities

The role involves building AI applications and integrating them with other systems within the banking ecosystem, collaborating with various teams to implement AI models into a microservices architecture. Responsibilities include developing serverless applications using AWS Lambda and Python, designing scalable backend services, and ensuring system security and performance.