Mid/Senior AI engineer with networking experience
Tasks
- Build semantic search over tools using vector database
- Collaborate with engineers and network domain experts to deliver agent workflows
- Create golden user queries and variations
- Design evaluation workflows with deterministic checks and human review
- Develop LLM agent tool APIs
- Develop automated tests for tool selection and outputs
- Develop production Python code and tests
- Implement tool schemas and validation
- Integrate with network device APIs and CLI
- Refine prompts and tool descriptions to prevent regressions
- Use LLM as judge to evaluate agent responses
Perks/Benefits
Skills/Tech-stack
Agent Framework | CI/CD | Computer Networking | DeepEval | Docker | Integration Testing | Kubernetes | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | Network Troubleshooting | Prompt engineering | Python | RAG | Semantic Search | Tool-Calling | Unit Testing | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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