Senior AI Engineer, Real-World Data
Tasks
- Design build deploy agent based AI systems
- Develop evaluation and monitoring approaches
- Guide safe deployment in regulated environments
- Improve performance scalability and cost
- Integrate AI capabilities into production platforms
- Own technical design and delivery for agent workflows
- Provide technical leadership with documentation and design decisions
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AWS | AWS Fargate | AWS Lambda | Agile delivery | Amazon S3 | Amazon SQS | CI/CD | Code review | Docker | Document processing | Error Handling | Event Driven | Event-driven architecture | Healthcare Data | Language Models | Large Language Models | Linux | Object-Oriented | Object-oriented programming | Observability | Python | Quality Assurance | REST APIs | Retrieval-Augmented Generation | Structured outputs | Testing | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
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