Associate AI Engineer
Tasks
- Build agent services and APIs
- Build and optimize data pipelines
- Build backend APIs and services
- Build end-to-end AI applications
- Build front end interfaces for AI applications
- Define and monitor LLM performance metrics
- Design RAG pipelines
- Design and query datasets
- Develop AI agents in Databricks and Azure
- Develop LLM evaluation frameworks
- Develop LLM workflows and agents
- Enable vector search retrieval
- Ensure production readiness with logging monitoring scalability security
- Implement automated testing and benchmarking
- Integrate models via APIs
- Integrate orchestration frameworks
- Model data for AI use cases
Perks/Benefits
- 401k
- Caregiver leave
- Dental benefits
- Disability insurance
- Discretionary bonus program
- Life insurance
- Medical benefits
- Paid time off
- Parental leave
- Pension
- Spending accounts
- Vision benefits
Skills/Tech-stack
AI Foundry | API | Accuracy | Apache Spark | Autogen | Azure | Azure AI | Azure AI Foundry | Data Pipelines | Databricks | Delta Lake | ETL | Embeddings | Grounding Fidelity | Hallucination detection | LLM | Langchain | Langgraph | Logging | Model Evaluation | Monitoring | PostgreSQL | Precisión | Prompt engineering | Python | RAG | React | Recall | Safety | Scalability | Security | Vector Search
Education
N/A
Roles
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