Senior Applied (AI) Engineer - CPGR
Tasks
- Build RAG based LLM and agent systems
- Conduct AI discovery and solutioning
- Define AI roadmaps and ROI TCO cases
- Demonstrate solutions to executives
- Design secure scalable AI architectures
- Integrate enterprise data identity and compliance frameworks
- Lead end to end proof of value projects
- Prototype Generative AI solutions
- Specialize in customer domains and industries
- Support AI adoption and value realization
Perks/Benefits
- Company equity (RSUs)
- Comprehensive benefits
- Counseling
- Dedicated learning program
- Dedicated volunteer days
- Extensive parental leave
- Generous PTO
- Gym subsidies
- Hybrid working options
- Mentorship opportunities
- Well-being programs
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Azure AI | Cloud deployment | Data Engineering | Few-Shot Learning | Few-shot | Fine Tuning | Function Calling | GCP Vertex | Generative AI | LLM orchestration | Langchain | Llamaindex | Machine Learning | Model Fine-tuning | Model Monitoring | Multi-Agent | Multi-agent orchestration | Multimodal Understanding | Pandas | Presentation Skills | Process mining | Prompt engineering | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | Scikit-learn
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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