
Amazon Bedrock – Multimodal Agent Development
6 days ago
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 ). - 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.
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