GenAI Engineer

Exasoft Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Exasoft Pte. Ltd. is seeking a GenAI Engineer to design, develop and deploy GenAI solutions integrated with Azure, OpenAI and AWS. You will collaborate with cross-functional teams to translate requirements into scalable AI applications.

The role requires strong programming skills (Python/Java), hands-on experience with Azure AI Services, containerization (Docker/Kubernetes), and ML model deployment. You will mentor juniors and stay abreast of GenAI trends in cloud ecosystems.

Qualifications

• Bachelor's or master's degree in computer science, engineering, or a related field.
• Proven experience as a GenAI Engineer with focus on Azure and OpenAI integration.
• Experience with AWS and Azure GenAI services is preferred.
• Strong programming skills in Python and/or Java.
• Experience with Azure services including Azure WebApp, Azure AI Services, and Azure Functions.
• Experience with Large Language Model integration via APIs and building AI agents.
• Understanding of ML algorithms and deep learning frameworks.
• Proficiency in data preprocessing, feature engineering, and model evaluation.
• Strong problem-solving and analytical abilities.
• Excellent communication and collaboration skills.
• Ability to work independently and in fast-paced environments.
• Experience with AWS services like ECS, Fargate, Lambda, DynamoDB, Bedrock.
• Knowledge of Google Cloud services (GCP AI Platform, Cloud Functions, AutoML).
• Experience deploying GenAI applications on Azure, AWS, and Google Cloud.

Responsibilities

• Design, develop, and implement GenAI solutions integrated with Azure and AWS platforms.
• Collaborate with cross-functional teams to gather requirements and define objectives.
• Research and stay updated on GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.
• Develop and maintain scalable codebase for GenAI applications.
• Optimize GenAI models and algorithms for performance and accuracy.
• Troubleshoot and debug GenAI applications for minimal downtime.
• Collaborate with data scientists and ML engineers to enhance GenAI capabilities.
• Provide technical guidance and mentorship to junior team members.
• Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.

Skills

GenAI engineering

Python

Java

Education

Bachelor's or Master's degree in Computer Science or Engineering

Tools

Azure GenAI services

Azure WebApps

Azure Functions

AWS

Docker

Kubernetes

Job description

Responsibilities

• Design, develop, and implement GenAI solutions that integrate with Azure and AWS platforms.


• Collaborate with cross-functional teams to gather requirements and define project objectives.


• Conduct research and stay up-to-date with the latest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAI technologies.


• Develop and maintain scalable and efficient codebase for GenAI applications.


• Optimize GenAI models and algorithms for performance and accuracy.


• Troubleshoot and debug GenAI applications, ensuring smooth operation and minimal downtime.


• Collaborate with data scientists and machine learning engineers to enhance GenAI capabilities.


• Provide technical guidance and mentorship to junior team members.


• Stay informed about industry trends and best practices in GenAI engineering and cloud service integration.

Requirements

• Bachelor\'s or master\'s degree in computer science, Engineering, or a related field.


• Proven experience as a GenAI Engineer, with a focus on Azure and OpenAI integration.


• Experience with AWS and Azure GenAI services is preferred.


• Strong programming skills in languages such as Python and/or Java.


• Experience with Azure services, including Azure WebApp services, Azure AI Services, and Azure Functions.


• Experience with Large Language model integration with APIs, building AI agents and working with multi-modal models.


• Understanding of machine learning algorithms and deep learning frameworks.


• Proficiency in data preprocessing, feature engineering, and model evaluation techniques.


• Strong problem-solving and analytical skills.


• Excellent communication and collaboration abilities.


• Ability to work independently and as part of a team in a fast-paced environment.


• Experience with AWS services, such as Amazon ECS, Fargate, Lambda, Dynamo DB, Bedrock etc.


• Good to have knowledge of Google Cloud services, including Google Cloud AI Platform, Google Cloud Functions, and Google Cloud AutoML.


• Experience with cloud-based deployment and scaling of GenAI applications on Azure, AWS, and Google Cloud.


• Knowledge of containerization technologies such as Docker and Kubernetes.


• Familiarity with DevOps practices and tools for CI/CD pipelines.


• Contributions to open-source GenAI or cloud service integration projects.