AI/ Software Engineer (Contract)

Position Summary / Project Description

As part of the Gen AI team in the company, 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.

Role and 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.
  

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• 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.
• Excellent communication and collaboration abilities.
• Ability 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.