AI Native Software Engineering Consultant
Tasks
- Add production observability
- Build RAG pipelines
- Build multi-agent orchestration
- Debug production agent failures
- Define agent metrics accuracy latency safety cost
- Deploy agentic solutions with clients
- Design agentic AI systems end to end
- Implement LLMOps eval harness
- Implement cost and safety monitoring
- Integrate LLM APIs
- Lead technical design sessions
- Manage prompt versioning
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Orchestration | Autogen | Braintrust | CI/CD | Context Window Engineering | Context window | Cost monitoring | CrewAI | Docker | Embeddings | Helm | Java | Kubernetes | LLMOps | Langgraph | Langsmith | Latency optimization | Memory Management | Microservices | Multi-Agent | Multi-agent orchestration | Observability | Policy Based Routing | Policy-based | Prompt versioning | Python | RAG | Safety monitoring | Serverless | Terraform | Token Management | Tool invocation | Vector Databases | Vector Search
Education
N/A
Roles
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