AI Forward Deployed Engineer
Tasks
- Analyze end-to-end workflows
- Build minimum viable AI prototypes
- Deploy AI solutions to production
- Design AI workflows for existing systems
- Document decisions risks metrics
- Evaluate technical quality and performance
- Handle errors and iterate solutions
- Identify AI use cases
- Implement API integrations
- Integrate AI with data and applications
- Measure user adoption and business impact
- Observe client processes
- Support users during rollout
Perks/Benefits
Skills/Tech-stack
API Integration | Change Management | Cloud Architecture | Code platforms | Data integration | Document Intelligence | Generative AI | Human-in-the-loop | LLMOps | Language Models | Large Language Models | Low Code | Low-Code Platforms | MLOps | Privacy Compliance | Process mining | Prompt engineering | Python | Retrieval-Augmented Generation | Security Compliance | Semantic Search | Structured data | The Loop | Unstructured Data | Workflow automation
Education
N/A
Roles
AI | AI Engineer | AI Solutions | AI Solutions Engineer | Engineer | Solutions Engineer
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