Sr Generative AI Engineer (Agentic AI & RAG)
Tasks
- Build and maintain RAG pipelines
- Build reusable prompt templates
- Design and build AI agents
- Establish agent evaluation harnesses
- Implement MCP Server integrations
- Integrate AI into Java SDLC
- Integrate AI into MuleSoft SDLC
- Integrate AI into Salesforce Health Cloud
- Monitor deployed agents for drift cost latency accuracy
- Own agent lifecycle build deploy monitor evaluate retire
- Productionize enterprise AI tooling
- Remediate agent issues
- Review AI generated code for quality standards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent Builder | Agent Builder | Agent Orchestration | Apex | BigQuery | Claude API | CrewAI | DataWeave | Embeddings | Enterprise API | GCP | Gemini Enterprise | Gemini Enterprise API | GitHub | GitHub Copilot | GraphQL | Java | JavaScript | LLM | LWC | Langchain | Langgraph | Lightning Web | Lightning Web Components | MCP | MuleSoft | PostgreSQL | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Salesforce Apex | TypeScript | Vector Databases | Vector Stores | Version control | Vertex AI | Vertex AI Agent Builder | Web Components
Education
N/A
Roles
AI | AI Engineer | AI Solutions | AI Solutions Engineer | Engineer | Generative AI Engineer | Solutions Engineer
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