Onsite in DFDescription:AI DeveloperEssential Duties and Responsibilities:Work with technical and?business teams to develop GenAI solutions for scenarios likeText ExtractionSpeech to TextChat Assistant with Knowledge BaseChat Assistant with Transactional DataWorkflow Automation using AI AgentsApply your knowledge of Gen AI frameworks and deployment architectures to build solutions and recommend best practices.Evaluate options, develop Proof of concepts, and review code and solutions from other team members.Understanding of full-stack architecture is a strong plus.Qualifications5+ years of design, implementation, or consulting in applications and infrastructures experienceStrong familiarity with AWS cloud services.3+ years of experience in various phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS technologies.Experience in implementing AI/Generative AI solutions using AWS Sagemaker, AWS Bedrock and other AI services like AWS Transcribe, AWS Textract, AWS Kendra, AWS Translate and AWS Rekognition, etc.Demonstrated understanding of prompt engineering and application of it to mentioned use cases.Evaluate LLM outputs for hallucination, toxicity, bias, and factual correctness.Implement context caching and memory management patterns to implement well performing applications.Coding experience in implementing solutions using various AWS Services.Proficiency in programming languages such as Python and NodeJS preferred.Proficiency in creating and using REST APIs.Notes:OnsiteVIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:AI DeveloperEssential Duties and Responsibilities:Work with technical and?business teams to develop GenAI solutions for scenarios likeText ExtractionSpeech to TextChat Assistant with Knowledge BaseChat Assistant with Transactional DataWorkflow Automation using AI AgentsApply your knowledge of Gen AI frameworks and deployment architectures to build solutions and recommend best practices.Evaluate options, develop Proof of concepts, and review code and solutions from other team members.Understanding of full-stack architecture is a strong plus.Qualifications5+ years of design, implementation, or consulting in applications and infrastructures experienceStrong familiarity with AWS cloud services.3+ years of experience in various phases of Machine Learning, Artificial Intelligence and Deep Learning solutions using AWS technologies.Experience in implementing AI/Generative AI solutions using AWS Sagemaker, AWS Bedrock and other AI services like AWS Transcribe, AWS Textract, AWS Kendra, AWS Translate and AWS Rekognition, etc.Demonstrated understanding of prompt engineering and application of it to mentioned use cases.Evaluate LLM outputs for hallucination, toxicity, bias, and factual correctness.Implement context caching and memory management patterns to implement well performing applications.Coding experience in implementing solutions using various AWS Services.Proficiency in programming languages such as Python and NodeJS preferred.Proficiency in creating and using REST APIs.Notes:Onsite
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