Senior AI/ML Engineer (GenAI, AWS)
Tasks
- Build and optimize RAG systems
- Build evaluation harness
- Conduct code reviews and mentor engineers
- Create documentation and runbooks
- Deploy AI systems on AWS
- Design and build production GenAI systems
- Implement LLMOps and AgentOps practices
- Integrate AI components into REST APIs
- Monitor models for drift and performance
- Perform model evaluation and improve failure modes
- Write production AI backend code
Perks/Benefits
- Access to premium AI subscriptions
- Conference attendance
- Equipment provided
- Paid public holidays
- Paid sick leave
- Paid vacation
- Private medical insurance
- Remote-friendly culture
Skills/Tech-stack
AWS Bedrock | AWS Bedrock AgentCore | AWS Lambda | AgentOps | Amazon ECR | Amazon ECS | Amazon S3 | Amazon SQS | Anthropic API | Bedrock AgentCore | CI/CD | Docker | Drift Detection | Evaluation | Graph orchestration | Infrastructure as Code | Kubernetes | LLM APIs | LLMOps | Model Monitoring | OpenAI API | Prompt engineering | Python | RAG | REST APIs | Regression testing | Retrieval-Augmented Generation | State management | Tool use | TypeScript | “as-code”
Education
N/A
Roles
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