AI Engineer (AWS Bedrock)
Tasks
- Build Retrieval-Augmented Generation solutions
- Collaborate with architects software engineers and stakeholders
- Deploy and improve AI systems in production
- Design enterprise generative AI solutions
- Design scalable AI architectures on AWS
- Develop AI powered APIs and backend services
- Implement prompt engineering strategies
- Integrate foundation models into production applications
- Integrate vector databases and enterprise knowledge sources
- Monitor AI applications for quality security and performance
- Optimize LLM performance
Perks/Benefits
Skills/Tech-stack
AI Governance | AWS Bedrock | AWS Lambda | Amazon ECS | Amazon EKS | Amazon Knowledge Bases | Amazon Knowledge Bases for Bedrock | Amazon S3 | Amazon Titan | CI/CD | Claude | CloudFormation | Docker | Faiss | Git | Knowledge Bases for Bedrock | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | OpenSearch | Pinecone | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Security | Terraform | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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