Senior GenAI Engineer

Epergne Solutions; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Epergne Solutions is seeking a Senior GenAI Engineer to design, develop, and deploy enterprise‑grade generative AI solutions integrated with Microsoft Azure and AWS. The role emphasizes scalable AI applications, LLM integration, AI agents, and collaboration with cross‑functional teams to deliver high‑quality GenAI solutions.

Based in Singapore, you will work with data scientists and engineers, mentor teammates, review code, and stay current with GenAI advancements.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Strong experience developing GenAI applications and integrating LLM APIs.
• Experience with Azure services (Azure AI Services, Functions, Web Apps).
• Experience with AWS services (Lambda, ECS, Fargate, DynamoDB, Bedrock) or similar cloud technologies.
• Proficiency in Python and/or Java.
• Understanding of ML/DL concepts including model evaluation and optimization.
• Experience building AI agents and multimodal models.
• Strong problem-solving and collaboration skills.

Responsibilities

• Design, develop, and deploy GenAI solutions integrated with Azure and AWS cloud services.
• Collaborate with business and technical teams to gather requirements and define solution architecture.
• Build and maintain scalable, efficient, and secure GenAI applications.
• Integrate LLM APIs, multimodal models, and AI agents into enterprise applications.
• Optimize GenAI models and workflows for performance, accuracy, and scalability.
• Troubleshoot and resolve issues related to AI applications and cloud deployments.
• Mentor engineering team members and provide code reviews.
• Stay current with GenAI, Azure AI, OpenAI, AWS, and related cloud technologies.

Skills

GenAI development

LLM integration

Python

Java

Cloud platforms

AI agents

Multimodal models

Mentoring

Collaboration

Education

Bachelor's or Master's degree in CS/Engineering

Tools

Azure Functions

Azure AI Services

AWS Lambda

Kubernetes

Docker

Job description

We are looking for a Senior GenAI Engineer to design, develop, and implement enterprise-grade generative AI solutions integrated with cloud platforms such as Microsoft Azure and Amazon Web Services (AWS). The role involves building scalable AI applications, integrating large language models (LLMs), developing AI agents, and collaborating with cross-functional teams to deliver high-quality GenAI solutions.

• Design, develop, and deploy GenAI solutions integrated with Azure and AWS cloud services.
• Collaborate with business and technical teams to gather requirements and define solution architecture.
• Build and maintain scalable, efficient, and secure GenAI applications.
• Integrate LLM APIs, multimodal models, and AI agents into enterprise applications.
• Optimize GenAI models and workflows for performance, accuracy, and scalability.
• Troubleshoot and resolve issues related to AI applications and cloud deployments.
• Work closely with data scientists and machine learning engineers to enhance AI capabilities.
• Provide technical guidance, code reviews, and mentoring to engineering team members.
• Stay current with advancements in GenAI, Azure AI, OpenAI, AWS, and related cloud technologies.

Job Role:-Senior GenAI Engineer

Job Location:- Singapore

Experience:- 5+Years

Job Summary:-

We are looking for a Senior GenAI Engineer to design, develop, and implement enterprise-grade generative AI solutions integrated with cloud platforms such as Microsoft Azure and Amazon Web Services (AWS). The role involves building scalable AI applications, integrating large language models (LLMs), developing AI agents, and collaborating with cross-functional teams to deliver high-quality GenAI solutions.

Roles & Responsibilities:-

• Design, develop, and deploy GenAI solutions integrated with Azure and AWS cloud services.
• Collaborate with business and technical teams to gather requirements and define solution architecture.
• Build and maintain scalable, efficient, and secure GenAI applications.
• Integrate LLM APIs, multimodal models, and AI agents into enterprise applications.
• Optimize GenAI models and workflows for performance, accuracy, and scalability.
• Troubleshoot and resolve issues related to AI applications and cloud deployments.
• Work closely with data scientists and machine learning engineers to enhance AI capabilities.
• Provide technical guidance, code reviews, and mentoring to engineering team members.
• Stay current with advancements in GenAI, Azure AI, OpenAI, AWS, and related cloud technologies.

Skills & Requirements:-

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Strong experience developing GenAI applications and integrating LLM APIs.
• Experience with Microsoft Azure services, including Azure AI Services, Azure Functions, Azure Web Apps, and related cloud services.
• Experience with AWS services such as Lambda, ECS, Fargate, DynamoDB, Bedrock, or similar cloud technologies.
• Proficiency in Python and/or Java.
• Understanding of machine learning and deep learning concepts, including model evaluation and optimization.
• Experience building AI agents and working with multimodal AI models.
• Strong problem-solving, analytical, communication, and collaboration skills.
• Ability to work effectively in a fast-paced, collaborative environment.

Preferred Skills:-

• Experience with Google Cloud AI services and cloud-based AI deployment.
• Knowledge of Docker, Kubernetes, and containerized application deployment.
• Familiarity with CI/CD pipelines and DevOps practices.
• Contributions to open-source AI or cloud integration projects are advantageous.