AI Engineer I
Tasks
- Assist with Docker private endpoints and secure configurations
- Assist with documentation for AI services and infrastructure
- Assist with function tool calling integrations
- Assist with validation and QA testing
- Assist with vector database setup embeddings and chunking
- Build and test enterprise LLM applications
- Develop and test retrieval augmented generation systems
- Evaluate retrieval quality
- Follow AI ML operations best practices monitoring versioning and CI CD
- Participate in rapid POC development cycles
- Provide prompt engineering and structured output handling
- Share findings and participate in team demos and retrospectives
- Stay current with emerging AI tools and model releases
- Support cloud deployments in Azure
- Support design development testing implementation of AI powered solutions
Perks/Benefits
- 401k match
- Dental insurance
- Holidays
- Medical insurance
- Personal Time Off
- Sick days
- Vision insurance
- Work-life balance
Skills/Tech-stack
API Integration | Azure | CI/CD | Chroma | Docker | Embeddings | Function Calling | Git | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Model versioning | Monitoring | Natural Language | Natural Language Processing | Pinecone | Prompt engineering | Python | Retrieval-Augmented Generation | Structured Output | Tool-Calling | Vector Databases | Vector Search | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
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