General AI Engineer

ADVANCED E-SOLUTIONS PTE. LTD.; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

ADVANCED E-SOLUTIONS PTE. LTD. seeks a Senior GenAI Engineer to design and implement GenAI solutions leveraging Azure and AWS platforms, with a strong focus on OpenAI integration.

The ideal candidate will have deep GenAI development experience, proficiency in Python/Java, and a track record of building scalable AI-powered applications across cloud environments.

Qualifications

• Bachelor’s or Master’s degree in computer science, engineering, or a related field.
• Proven experience as GenAI engineer with Azure and OpenAI integration.
• Experience with AWS and Azure GenAI services is preferred.
• Strong programming skills in Python and Java.
• Experience with Azure services (Azure WebApp, Azure AI, Azure Functions) and APIs for LLMs.

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.
• Research and stay up-to-date with GenAI, Azure, OpenAI, AWS, and Google GenAI technologies; maintain scalable codebase.
• Optimize GenAI models and algorithms for performance and accuracy.
• Troubleshoot GenAI applications to ensure smooth operation and minimal downtime.
• Collaborate with data scientists and ML engineers to enhance GenAI capabilities.

Skills

GenAI

Azure services

OpenAI integration

AWS services

Python

Java

ML

LLM

AI agents

Education

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

Tools

Docker

Kubernetes

Job description

Key Skills:

GenAI,Azure Services and OpenAI integration, AWS Services, Python, Java, ML, LLM, AIAgents

Job Summary:

We are seeking a highly skilled and experiencedSenior GenAI Engineer to join our team. The ideal candidate will have a strongbackground in GenAI development, with a focus on Azure and AWS integration.Experience with AWS and Azure GenAI services is preferred. As a Senior GenAIEngineer, you will play a key role in designing, developing, and implementingcutting-edge GenAI solutions that leverage the power of Azure and AWStechnologies.

Responsibilities:

• Design, develop, and implement GenAI solutions thatintegrate with Azure and AWS platforms.
• Collaborate with cross-functional teams to gatherrequirements and define project objectives.
• Conduct research and stay up-to-date with thelatest advancements in GenAI, Azure, OpenAI, AWS, and Google GenAItechnologies. Develop and maintain scalable and efficient codebase for GenAIapplications.
• Optimize GenAI models and algorithms forperformance and accuracy.
• Troubleshoot and debug GenAI applications, ensuringsmooth operation and minimal downtime.
• Collaborate with data scientists and machinelearning engineers to enhance GenAI capabilities.
• Provide technical guidance and mentorship to juniorteam members.
• Stay informed about industry trends and bestpractices 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 focuson Azure and OpenAI integration.
• Experience with AWS and Azure GenAI services ispreferred.
• Strong programming skills in languages such asPython and/or Java.
• Experience with Azure services, including AzureWebApp services, Azure AI Services, and Azure Functions.
• Experience with Large Language model integrationwith APIs, building AI agents and working with multi-modal models.
• Understanding of machine learning algorithms anddeep learning frameworks.
• Proficiency in data preprocessing, featureengineering, and model evaluation techniques.
• Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.
• Ability to work independently and as part of a teamin a fast-paced environment.

Preferred Qualifications:

• 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 CloudAutoML.
• Experience with cloud-based deployment and scalingof GenAI applications on Azure, AWS, and Google Cloud.
• Knowledge of containerization technologies such asDocker and Kubernetes.
• Familiarity with DevOps practices and tools forCI/CD pipelines.
• Contributions to open-source GenAI or cloud serviceintegration projects.