Senior AI Engineer
Tasks
- Build and optimize RAG systems
- Collaborate to accelerate AI adoption and productization
- Consult and advocate for AI engineering
- Create implement AI evaluation frameworks
- Deploy and operate AI systems
- Design build and maintain AI capabilities
- Develop and maintain MCP server
- Develop reusable AI models tools APIs and platforms
- Implement AI guardrails
- Own projects end to end
Perks/Benefits
- Benefits package
- Celebrations and activities
- Flexible schedule
- Fully stocked kitchens
- Global onboarding
- Gym membership
- Happy hours
- Healthcare benefits
- Hybrid work
- Personal development
- Role based technical skills training
- Team events
- Udemy access
- Volunteer programs
- Wellness program
- Work-from-home equipment
Skills/Tech-stack
AI guardrails | APIs | AWS | Azure | Containerization | DevOps | Docker | Evaluation | GCP | LLM | Language Models | Large Language Models | MCP | Model Context Protocol | Public Cloud | Python | RAG | Retrieval-Augmented Generation
Education
N/A
Roles
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