Amazon bedrock – multimodal agent development

4 weeks ago

Kanpur, India Mavoix Technology Solutions Pvt. Ltd. Full time

About the RoleWe are seeking a passionate AI/ML Engineer with hands-on experience in Amazon Bedrock, Generative AI, and multimodal data processing to develop multimodal agent that interacts seamlessly with users through varied modality.You will lead the end-to-end development of agentic environment with multimodal knowledge-based that integrates with our web and mobile applications, enabling real-time, context-aware, and accurate responses from diverse data sources.Key ResponsibilitiesDesign, build, and deploy a multimodal AI agent using Amazon Bedrock (Knowledge Bases, Titan Embeddings, Claude, Amazon Nova...etc.).Create and manage multimodal knowledge bases using S3, Bedrock Data Automation, Open Search.Implement RAG workflows for text, video, images, and PDF data.Integrate the agent with web and mobile apps via secure RESTful APIs or AWS Lambda.Develop data ingestion and preprocessing pipelines (data parsing).Work with AWS services: S3, Lambda, API Gateway, IAM, Cognito, Cloud Watch, Dynamo DB etc.Optimize model selection, prompt engineering, and performance for low-latency interaction.Ensure data security, access control, and compliance with internal policies.Collaborate with UI/UX and backend developers to deliver a production-ready user experience.Required Skills & ExperienceStrong proficiency in Python (Boto3 SDK, AWS SDKs, Lang Chain, or Bedrock SDK).Hands-on experience with Amazon Bedrock, RAG architectures, and Knowledge Bases.Familiarity with embedding models, vector databases (Open Search, Pinecone).Understanding of multimodal AI concepts (text + image understanding, OCR, document parsing).Experience deploying applications via AWS Lambda.Knowledge of frontend integration (React / Flutter / REST APIs).Solid grasp of cloud security, IAM roles, and least privilege access.Preferred QualificationsExperience with Claude, Titan, Cohere, Nova models on Bedrock.Work experience in AI Agents, voice assistants, or enterprise knowledge systems.Bachelor’s/Master’s in Computer Science, AI/ML, or related field.

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