About the Role
We 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 Responsibilities
- Design, 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, OpenSearch.
- 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, CloudWatch, DynamoDB 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 & Experience
Strong proficiency in Python (Boto3 SDK, AWS SDKs, LangChain, or Bedrock SDK).Hands-on experience with Amazon Bedrock , RAG architectures , and Knowledge Bases .Familiarity with embedding models , vector databases (OpenSearch, 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 Qualifications
Experience 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.