AI Engineer
Tasks
- Build copilot user experiences
- Collaborate with stakeholders in Agile delivery
- Define agent reliability safety metrics
- Deploy AI systems to production
- Design AI agents and copilots
- Develop LLM prompts and RAG pipelines
- Ensure security privacy data governance compliance
- Evaluate and optimize model performance
- Implement scalable reliable agent workflows
- Integrate AI agents with APIs and databases
- Mentor engineers and document best practices
- Monitor and manage model lifecycle
Perks/Benefits
Skills/Tech-stack
APIs | Agent Orchestration | Agile | Cost Optimization | Data Governance | Database Integration | Embeddings | Hallucination mitigation | Human-in-the-loop | Language Models | Large Language Models | Lifecycle Management | Microsoft 365 | Model Lifecycle | Model Lifecycle Management | Monitoring | Observability | Privacy | Prompt engineering | Prompt evaluation | RAG | Retrieval-Augmented Generation | Security | The Loop | Tool use | TypeScript | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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