Python Engineer

Job requirements:

- Expert level knowledge of Python, Pydantic, FastAPI, Docker

- Expert level knowledge AI frameworks LlamaIndex and/or Langchain

- Expert level knowledge of Azure and Azure Kubernetes, Container Registries, KeyVault

- Expert level knowledge of Github CICD workflows/actions

- Ability to debug Azure Kubernetes deployments, log in to pods, debug Secrets and Env Variables issues

- Advanced knowledge of Airflow, creating and trigging dags via API, debugging errors

- Advanced knowledge of LLMs, specifically OpenAI APIs, various parameters

- Advanced knowledge of RAG pipelines, all steps from extract to index

- Advanced knowledge of various retrieval strategies (semantic, hybrid, rerankers, etc.)

- Experience with both PGSql+Vector and Graph Databases

- Some knowledge of C#/.Net is a plus

Preferred qualifications:

• fastAPI as a technology
• RAG as a framework
• PG Vector
• Apache Airflow
• Apache JMeter
• GitHub

Optional:

• Azure Bus Services and Kubernetes