Senior AWS Agentic AI Engineer
Tasks
- Build and deploy generative AI and LLM applications
- Build secure scalable and highly available AI platforms
- Design and develop agentic AI solutions
- Develop RAG solutions
- Implement AI governance security guardrails and responsible AI
- Implement MLOps CI CD and model deployment
- Implement multi-agent orchestration
- Integrate AI Agents with enterprise applications
- Optimize AI performance accuracy latency scalability reliability and cost
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Governance | AI Observability | API Gateway | AWS AgentCore | AWS CloudFormation | AWS Lambda | AWS Step Functions | Agent systems | Amazon API | Amazon API Gateway | Amazon Bedrock | Amazon CloudWatch | Amazon DynamoDB | Amazon ECS | Amazon EKS | Amazon EventBridge | Amazon IAM | Amazon OpenSearch | Amazon S3 | Amazon SageMaker | Autogen | CrewAI | Docker | GitHub Actions | Java | JavaScript | Jenkins | Kubernetes | Langchain | Langgraph | Llamaindex | Model Context Protocol | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Step Functions | Terraform | TypeScript | Vector Databases
Education
N/A
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