General AI Engineer

· 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.