Senior AI Engineer
Tasks
- Architect scalable distributed AI services
- Build AI assistants and agent platforms
- Build and manage skills and toolsets for agents
- Debug and tune LLM application performance
- Design and implement Agentic workflows
- Design human in the loop patterns for regulated decisions
- Develop and optimize GraphRAG pipelines
- Develop and optimize RAG pipelines
- Implement Model Context Protocol for agent data and tool interaction
- Implement monitoring tracing and evaluation frameworks
- Integrate LLM applications into Kubernetes environments
- Provide technical leadership and mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asynchronous programming | Azure | CI/CD | Docker | FastAPI | GraphRAG | Java | Kubernetes | LLM Evaluation | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Model Context Protocol | Monitoring | Observability | Prompt engineering | Promptfoo | Python | Retrieval-Augmented Generation | Tracing
Education
N/A
Roles
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