LLM Engineer
Tasks
- Build AI powered applications workflows copilots and agents
- Build RAG solutions and workflow automations
- Build prompt libraries knowledge bases and integrations
- Create documentation SOPs and technical standards
- Design and deploy LLM solutions
- Develop custom GPTs and AI agents
- Develop secure AI infrastructure and governance
- Evaluate and implement AI models and frameworks
- Implement AI automation for business processes
- Implement automated reporting data extraction and document processing
- Integrate AI platforms with ATS CRM HRIS and reporting tools
- Lead AI training and change management
- Monitor AI performance accuracy security and ROI
Perks/Benefits
Skills/Tech-stack
AI APIs | AI Agents | AI Governance | API Integration | Cloud Platforms | Data extraction | Document processing | Knowledge Base | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Secure infrastructure | Workflow automation
Education
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