Hiring for AI Enggineer/GenAI ,Agentic AI

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.