AI Solutions Engineer
Tasks
- Architect LLM workflows
- Build API integrations
- Build agent frameworks
- Build computer vision pipelines
- Build data ingestion pipelines
- Build generative AI pipelines
- Create documentation and reference architectures
- Deploy AI pilots to cloud on prem or hybrid
- Deploy evaluation systems
- Develop prototypes proof of concept pilots
- Lead technical discovery and integration planning
- Provide customer technical guidance
- Train teams on best practices for AI systems
- Translate requirements into production solutions
- Troubleshoot technical issues
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | Agentic AI | CI/CD | Cloud platform | Computer Vision | Docker | Generative AI | Google Cloud | Google Cloud Platform | Image classification | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Microsoft Azure | Object Detection | PyTorch | Python | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Regions
Countries
States
Cities
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