Hiring for AI Enggineer/GenAI ,Agentic AI
Summary
The AI Engineer will design and implement LLM orchestration patterns and build AI agents using Python or Java. The role involves integrating multi-modal models and deploying GenAI applications across AWS, Azure, and Google Cloud platforms.
Bachelor’sor master’s degree in computer science, Engineering, or a related field.
· Proven experience indesigning and implementing LLM harness engineering patterns and orchestrationtechniques. 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 AIServices, Azure Functions, AWS-ECS/EKS, Aws Agentcore and AWS DyanamoDB.
· Familiarity with OpenAI technologies, such as GPT-3/4 and reinforcementlearning frameworks.
· Experience with Large Language model integration with APIs, building AI agentsand working with multi-modal models.
· Proficiency in data preprocessing, feature engineering, and model evaluationtechniques.
· Strong problem-solving and analytical skills.
· Excellent communication and collaboration abilities.
· Ability to work independently and as part of a team in a fast-pacedenvironment.
PreferredQualifications:
· Experience with AWS services, such as Amazon SageMaker, AWS Lambda, and AWSAI/ML services.
· Knowledge of Google Cloud services, including Google Cloud AI Platform, GoogleCloud Functions, and Google Cloud AutoML.
· Experience with cloud-based deployment and scaling of GenAI applications onAzure, AWS, and Google Cloud.
· Knowledge of containerization technologies such as Docker and Kubernetes.
· Familiarity with DevOps practices and tools for CI/CD pipelines.
· Contributionsto open-source GenAI or cloud service integration projects.