Machine Learning Engineer V
Tasks
- Build LLM application frameworks and orchestration patterns
- Design agentic platform capabilities for production systems
- Develop evaluation methods for quality accuracy latency cost safety and task effectiveness
- Document reusable agentic patterns and implementation guidance
- Ensure observability security maintainability and operational readiness
- Implement CI/CD and automated testing for reliable delivery
- Improve operational robustness of high availability systems
- Integrate tools into agent workflows
- Mentor engineers through design and code reviews
- Research and apply emerging AI technologies
- Translate business needs into technical designs prototypes and measurable outcomes
Perks/Benefits
- Bonus eligibility
- Disability insurance
- Life insurance
- Paid parental leave
- Paid time off
- Private medical insurance
Skills/Tech-stack
AWS | Agent Orchestration | Automated testing | Azure | CI/CD | Cloud Computing | Distributed Systems | Evaluation | GCP | High Availability | LLM orchestration | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-agent orchestration | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Security
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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