Mid/Senior AI engineer with networking experience
Tasks
- Build automated tests for tool selection and agent responses
- Collaborate with software network and DevOps teams to deliver reliable workflows
- Create golden queries and expected answers for network scenarios
- Design LLM evaluation workflows with deterministic checks and human review
- Develop agentic tools for network device APIs and CLI commands
- Develop production Python code and tests with LangChain and LangGraph
- Manage tool metadata and enable semantic search
- Refine prompts tool descriptions and schemas and monitor regressions
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic Workflows | CI/CD | Data Validation | Deep learning | Docker | Integration Testing | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Monitoring | Networking concepts | Prompt engineering | Python | RAG | Regression testing | Retrieval-Augmented Generation | Semantic Retrieval | Semantic Search | Structured Output | Tool-Calling | Unit Testing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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