AI Engineer
Tasks
- Build AI agents and automated workflows
- Build and maintain API integrations
- Collaborate on architecture security standards and deployment
- Define and improve testing and deployment processes
- Design and develop custom AI applications
- Develop retrieval-augmented generation pipelines
- Document use cases and technical specifications
- Evaluate and prototype emerging AI frameworks
- Gather requirements and validate solutions with stakeholders
- Identify workflow gaps requiring custom engineering
- Maintain production code and version control
- Monitor document and support deployed AI solutions
- Participate in vendor evaluations
- Recommend opportunities to productize AI solutions
- Stay current on LLM and AI agent developments
- Translate technical capabilities into workflow solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | AI Search | API Integration | Anthropic SDK | Azure AI | Azure AI Search | Compliance | Data Security | Deployment pipeline | LLM | Langchain | Llamaindex | Microsoft Azure | OpenAI SDK | Pinecone | Python | RAG | REST API | Retrieval-Augmented Generation | Secrets management | Testing | Vector Database | Version control | Weaviate
Education
Roles
Regions
Countries
States
Cities
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