Senior Agentic AI Engineer
Tasks
- Add hallucination checks
- Architect and build agentic workflows
- Build RAG pipelines
- Build multi-agent systems
- Deploy LLM powered applications on AWS
- Implement MCP-based integrations
- Implement cloud security architecture
- Implement evaluation and guardrails
- Implement observability using LangSmith
- Integrate AI agents with enterprise APIs
- Integrate vector databases
- Mentor engineering teams
- Monitor agent traces using Langtrace
- Orchestrate agent workflows using n8n
- Protect against prompt injection
- Set task success metrics
- Use AgentOps for agent operations
Perks/Benefits
Skills/Tech-stack
AWS | Agent Development | Agent Development Kit | Agent systems | AgentOps | Amazon Bedrock | CrewAI | Langgraph | Langsmith | Langtrace | Microservices | Model Context Protocol | Multi-Agent | Multi-Agent Systems | N8n | Pinecone | Python | RAG | Reinforcement Learning | Vector Database | Weaviate
Education
N/A
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