GenAI/ Senior Software Engineer

Salary: $8,000 – $10,000 per month

AI/Senior Software Engineer

Job Summary

As part of the Gen AI team, the AI/Software engineer will be playing a role in designing, developing, and implementing cutting-edge GenAI solutions that leverage the power of Azure and OpenAI technologies. This includes building and maintaining advanced agentic infrastructure and modern execution frameworks around core AI models.

Job Requirement:

• Minimum of 10 years’ relevant experience is required

• Proven experience in designing and implementing LLM harness engineering patterns and orchestration techniques.

• Experience with AWS and Azure is preferred

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

• Experience with Azure services, including Azure WebApp services, Azure AI Services, Azure Functions, AWS-ECS/EKS, Aws Agentcore and AWS DyanamoDB.

• Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcement learning frameworks.

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

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

• Strong problem-solving and analytical skills.

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

• Preferred Qualifications:

• Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWS AI/ML services.

• 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.

Responsibilities:

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

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 9473 3867

Helius Technologies Pte Ltd (EA Licence No: 11C3373)