Senior Applied AI Engineer - High Tech
Tasks
- Build AI and machine learning prototypes
- Create ROI and TCO business cases
- Define AI roadmaps
- Demonstrate solutions to executives
- Develop RAG agent systems
- Execute proof of value projects end to end
- Implement LLM guardrails and evaluations
- Integrate enterprise data systems
- Lead technical pre sales for AI solutions
- Support successful project adoption and value realization
Perks/Benefits
- Company equity
- Counseling
- Gym subsidies
- Hybrid work options
- Paid time off
- Parental leave
- Volunteer days
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Azure AI | Cloud deployment | Compliance | Data Engineering | 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 Evaluation | Multi-Agent | Multi-agent orchestration | Multimodal Understanding | Pandas | Prompt engineering | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Secure Systems | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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