Expert AI Engineer
Tasks
- Architect and implement LLM and RAG solutions
- Build and maintain LangChain pipelines
- Build containerized deployments with Kubernetes and CI CD
- Design and build production grade generative AI applications
- Design and deliver reusable AI accelerators
- Drive enterprise GenAI adoption with enablement tooling
- Implement governance and compliance for data and responsible AI
- Improve answer accuracy with retrieval and prompt engineering
- Integrate enterprise data sources for retrieval
- Maintain AI service uptime with monitoring and failover
- Own AI orchestration layers for multi model systems
Perks/Benefits
- Company-paid certifications
- Conferences
- Financial consultations
- Internal meetups
- Language courses
- Legal consultations
- Medical insurance
- Mental health support
- Udemy access
- Workshops
Skills/Tech-stack
AI Search | Agent systems | Agentic AI | Azure AI | Azure AI Search | CI/CD | Data Ingestion | Data Retrieval | Data Security | Failover | Faiss | Incident Response | Kubernetes | Langchain | Language Models | Large Language Models | Microsoft Azure | Model Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI | Pinecone | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Snowflake | Vector Databases
Education
N/A
Roles
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