Senior AI engineer

bitralis pte. ltd.

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

bitralis pte. ltd. in Singapore is seeking an AI Engineer to design, develop, and integrate AI-powered solutions into enterprise applications.

The role requires a strong software engineering background with Java, Spring Boot, microservices, REST APIs, and cloud technologies, with an interest in Generative AI, LLMs, and intelligent automation. You will develop AI-enabled backend services, integrate AI APIs, build intelligent workflows, and support production AI systems, ensuring security and

Qualifications

  • Bachelor's degree in IT/CS/Engineering.
  • 5+ years in software development and application support.
  • Strong experience with Java, Spring Boot, and microservices.
  • Experience with REST APIs, J2EE, and cloud platforms (AWS).
  • Proficiency with SQL and relational databases.
  • Familiarity with Git, Postman, Linux/Unix, and scripting.

Responsibilities

  • Design and develop AI-powered enterprise applications and automation.
  • Integrate LLMs and AI services into existing systems.
  • Develop REST APIs and microservices for AI apps using Java/Spring Boot.
  • Build backend services for AI-driven platforms.
  • Deploy and monitor AI applications on cloud platforms.
  • Ensure security, privacy, and performance compliance.
  • Collaborate with stakeholders to identify AI use cases.

Skills

5+ years experience
Analytical skills

Education

Bachelor's Degree in IT/CS/Engineering

Tools

Java
Spring Boot
Microservices
REST APIs
J2EE
AWS
SQL
Git
Postman
Linux/Unix
Shell scripting
IntelliJ IDEA
Eclipse
Visual Studio
DBeaver

Job description

Job Summary

We are seeking an AI Engineer to design, develop, and integrate AI-powered solutions into enterprise applications. The ideal candidate should have a strong software engineering background with experience in Java, Spring Boot, Microservices, API development, and cloud technologies, along with an interest in Generative AI, Large Language Models (LLMs), and intelligent automation.

The role involves developing AI-enabled backend services, integrating AI APIs, building intelligent workflows, and supporting AI solutions in production environments.

Key Responsibilities
  • Design and develop AI-powered enterprise applications and intelligent automation solutions.
  • Integrate Large Language Models (LLMs) and AI services into existing systems.
  • Develop REST APIs and Microservices for AI applications using Java and Spring Boot.
  • Build and maintain backend services for AI-driven platforms.
  • Work with cloud platforms to deploy and monitor AI applications.
  • Collaborate with business stakeholders to identify AI use cases and technical solutions.
  • Develop and optimize prompt engineering strategies for AI applications.
  • Support production AI systems and troubleshoot technical issues.
  • Participate in system upgrades, deployments, and operational support.
  • Ensure AI applications meet security, privacy, and performance requirements.
Required Qualifications
  • Bachelor's Degree in Information Technology, Computer Science, Engineering, or a related discipline.
  • 5+ years of software development and application support experience.
  • Strong experience in:JavaSpring BootMicroservicesREST API DevelopmentJ2EE
  • Experience working with cloud platforms, preferably AWS.
  • Good understanding of SQL and relational databases.
  • Experience with Git, Postman, and modern development tools.
  • Familiarity with Linux/Unix and Shell scripting.
  • Strong analytical and problem-solving skills.
Preferred Qualifications
  • Experience with Generative AI platforms such as OpenAI, Azure OpenAI, or AWS Bedrock.
  • Knowledge of Large Language Models (LLMs).
  • Understanding of Prompt Engineering.
  • Exposure to Retrieval-Augmented Generation (RAG).
  • Experience integrating AI APIs into enterprise applications.
  • Knowledge of Vector Databases and AI orchestration frameworks.
  • AWS Certified Cloud Practitioner or other cloud certifications.
  • Experience in healthcare, banking, or government systems is an advantage.
Technical Skills
Programming Languages
  • Java
  • C#
  • C++
  • Shell Scripting
  • JavaScript
Frameworks & Technologies
  • Spring Boot
  • J2EE
  • Microservices
  • MyBatis
  • REST APIs
AI & Automation
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI API Integration
  • Intelligent Automation
Cloud & DevOps
  • AWS
  • Git
  • CI/CD
  • API Deployment
Databases
  • Oracle
  • SQL Server
  • MySQL
  • Sybase
Tools
  • IntelliJ IDEA
  • Eclipse
  • Visual Studio
  • Postman
  • DBeaver
  • GitLab
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