AI Engineer, Generative AI
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Job Description
AI Engineer developing and deploying generative AI applications with Amazon Bedrock. Focused on creating production-ready AI platforms for non-technical users using natural language.
Responsibilities:
- Design and develop AI applications using Amazon Bedrock
- Build and configure Bedrock Agents and Action Groups
- Implement Retrieval-Augmented Generation (RAG) architectures
- Develop natural-language-to-API workflows
- Configure Bedrock Knowledge Bases and vector search solutions
- Implement AI safety controls, content filtering, and PII protection
- Build and maintain serverless AWS solutions
- Deploy infrastructure using Infrastructure-as-Code practices
- Monitor AI system performance, usage, and operational metrics
Requirements:
- Generative AI & Amazon Bedrock
- Amazon Bedrock Agents and Action Groups
- Prompt engineering and orchestration
- Natural-language-to-API integrations
- Production deployment of generative AI solutions
- Retrieval-Augmented Generation (RAG)
- Bedrock Knowledge Bases
- OpenSearch
- Serverless vector stores
- Embeddings, chunking strategies, and retrieval optimization
- End-to-end RAG implementation
- AI Safety & Governance
- Bedrock Guardrails
- PII detection and redaction
- Topic enforcement and content moderation
- Responsible AI implementation
- AWS Serverless Technologies
- AWS Lambda (Python)
- Amazon API Gateway
- API authentication (IAM, API Keys)
- Amazon S3
- Deployment & Operations
- AWS CloudFormation
- CI/CD pipelines for AI workloads
- CloudWatch monitoring and dashboards
- AI performance metrics, including latency, token consumption, error rates, and guardrail activity
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