Conversational AI Engineer
Tasks
- Build multi agent systems tool orchestration
- Create evaluation frameworks
- Define prompt engineering standards
- Design deploy conversational AI applications
- Detect hallucinations response accuracy latency
- Develop Retrieval-augmented generation solutions
- Develop SDKs APIs and developer tooling
- Evaluate emerging LLMs and agent frameworks
- Implement AI safety responsible AI guardrails governance
- Implement agentic AI workflows
- Mentor engineers establish architecture testing deployment monitoring
- Optimize LLM performance inference efficiency caching
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | API Development | AWS | Agent Frameworks | Agent systems | Anthropic Claude | Autogen | Azure | CI/CD | Caching | CrewAI | Embeddings | Evaluation Frameworks | FedRAMP | Google Cloud | Google Gemini | HIPAA | Hallucination detection | Inference Optimization | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Llama | Llamaindex | MLOps | Mistral | Model Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenAI GPT | PCI DSS | Prompt engineering | Python | RAG | REST APIs | Responsible AI | Retrieval-Augmented Generation | SDK development | SOC 2 | Semantic Kernel | Tool orchestration | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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