Applied AI Solution Engineer
Tasks
- Build ROI TCO business cases
- Define AI roadmaps
- Demonstrate solutions to executives
- Design multi-agent orchestration
- Develop RAG systems
- Ensure secure scalable LLM deployments
- Execute proof of value projects
- Implement guardrails and evaluations
- Integrate with enterprise data
- Integrate with identity frameworks
- Lead technical pre-sales
- Prototype Generative AI solutions
- Prototype LLM agent systems with tools
- Prototype fine tuning solutions
- Prototype machine learning solutions
- Prototype multimodal understanding solutions
- Prototype prompt engineering solutions
- Prototyping in customer hackathons
- Support project implementation and adoption
Perks/Benefits
- Company equity (RSUs)
- Comprehensive benefits
- Counseling
- Generous PTO
- Gym subsidies
- Hybrid working options
- Learning program
- Mentorship opportunities
- Parental leave
- Parental leave extension
- Volunteer days
- Well-being programs
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Azure AI | Data Engineering | Enterprise Integration | Few-Shot Learning | Few-shot | Fine Tuning | Function Calling | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | LLM orchestration | Langchain | Llamaindex | Machine Learning | Model Deployment | Model Monitoring | Multi-Agent | Multi-agent orchestration | Multimodal Understanding | Pandas | Process mining | Prompt engineering | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Secure Architecture | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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