AI Engineer - Generative & Agentic AI
Tasks
- Apply LLM evaluation and benchmarking
- Build RAG and knowledge management pipelines
- Create agentic automation workflows
- Deliver production grade AI applications
- Deploy and operate cloud native AI solutions
- Design LLM based AI systems
- Develop LLM orchestration workflows
- Establish testing and monitoring practices
- Implement vector databases for semantic search
- Integrate AI with enterprise APIs
- Translate business requirements into technical designs
Perks/Benefits
- Flexible work arrangements
- Personal Time Off
- Professional development opportunities
- Wellness reimbursement
Skills/Tech-stack
.NET | API Integration | AWS | Agentic Systems | Autogen | Azure | CI/CD | Google Cloud | Langchain | Language Models | Large Language Models | MLOps | Model Monitoring | N8n | Orchestration | Power Automate | Pydantic AI | Python | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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