Senior AI Engineer
Tasks
- Adapt ML GenAI code into production
- Build production GenAI systems on AWS
- Deploy monitor and improve ML LLM systems
- Design RAG pipelines and retrieval logic
- Implement agent based or multi step workflows
- Improve retrieval performance output consistency evaluation
- Integrate AWS services for LLM backend services
- Own projects end-to-end from design to production
Perks/Benefits
- Access to expert knowledge sharing
- Continuous learning opportunities
- Hybrid work model
- Mentorship
- Sponsored AWS certifications
Skills/Tech-stack
AWS Bedrock | AWS Lambda | Agent Orchestration | Amazon CloudWatch | Amazon DynamoDB | Amazon OpenSearch | Amazon OpenSearch Service | Amazon S3 | Amazon SageMaker | CI/CD | Docker | Knowledge bases | Kubernetes | Langchain | Llamaindex | OpenSearch Service | Python | RAG | Terraform | Vector Databases
Education
N/A
Roles
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