Conversational AI Engineer
Tasks
- Architect implement agentic AI workflows multi agent systems and tool orchestration
- Build implement retrieval augmented generation solutions
- Create reusable SDKs APIs and developer tooling
- Define prompt engineering standards and libraries
- Design develop deploy enterprise conversational AI applications
- Develop evaluation frameworks for prompt quality hallucination detection and latency
- Evaluate emerging LLMs and agent frameworks
- Implement AI safety responsible AI security compliance guardrails and governance
- Mentor engineers and establish engineering standards
- Optimize LLM performance inference efficiency and caching strategies
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Governance | AWS | Agent systems | Agentic AI | Anthropic Claude | Autogen | Azure | CI/CD | CrewAI | Embeddings | FedRAMP | GCP | Google Gemini | Guardrails | HIPAA | 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 | Responsible AI | Retrieval-Augmented Generation | SOC 2 | Semantic Kernel | Tool orchestration | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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