Generative AI Engineer
Tasks
- Build and orchestrate multi-agent systems
- Build and publish MCP servers
- Create custom agent tools and workflows
- Create front end user interfaces for AI applications
- Design end-to-end Generative AI solutions
- Develop autonomous and semi autonomous AI agents
- Develop evaluation frameworks for LLM systems
- Ensure AI governance data security and compliance
- Implement retrieval-augmented generation pipelines
- Integrate and optimize LLM APIs
- Monitor agent reliability accuracy latency and cost
Perks/Benefits
- 401k company match
- Employer paid disability coverage
- Flexible spending accounts
- Medical/Dental/Vision
- Paid parental leave
- Paid sick leave
- Paid vacations
- Pre-tax commuter benefits
- Stock options
Skills/Tech-stack
AWS Bedrock | Agent systems | Agents SDK | Anthropic | Azure AI | CSS | CrewAI | Data Governance | Embeddings | Evaluation | Function Calling | Google Gemini | GraphRAG | HTML | JavaScript | LLM APIs | Langchain | Langgraph | MCP servers | Model Context Protocol | Model routing | Monitoring | Multi-Agent | Multi-Agent Systems | Node.js | OpenAI Agents | OpenAI Agents SDK | Prompt Studio | Prompt engineering | Python | RAG | Retrieval/reranking | Security Compliance | Tool-Calling | Vector Databases | Vue.js
Education
N/A
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