Principal AI Engineer
Tasks
- Build RAG systems
- Design agentic workflows
- Design scalable AI/ML pipelines
- Develop AI features in products
- Develop reusable accelerators and reference architectures
- Establish AI development best practices
- Generate verified pull requests and regression tests
- Implement AI coding agents
- Implement AI testing and validation
- Integrate AI APIs into customer applications
- Integrate agents with error monitoring and Jira
- Lead AI adoption across engineering function
- Mentor engineers using AI tools
- Partner with product and CX stakeholders on technical solutions
- Prototype and deploy AI solutions
- Refactor code for modularity and deterministic testing
- Translate business problems into scalable architectures
Perks/Benefits
Skills/Tech-stack
Agentic Frameworks | Agile | Azure | Azure DevOps | CI/CD | DevOps | Docker | Java | JavaScript | Jira | Kubernetes | LLM | Machine Learning | Prompt engineering | Python | RAG | REST API | Retrieval-Augmented Generation | TypeScript
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Principal | Principal AI Engineer
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