Senior Python Architect for GenAI Solutions
1 day ago
We are seeking a seasoned Python Architect with expertise in backend engineering and hands-on experience with Generative AI. The ideal candidate will have 8-12 years of core Python development experience, including 2-2.5 years focused on GenAI and microservices.
This role involves architecting and implementing Python-based microservices integrating GenAI capabilities, designing GenAI-powered solutions using Retrieval-Augmented Generation (RAG) pipelines and LLM orchestration engines, developing RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models.
- Architect and implement Python-based microservices integrating GenAI capabilities.
- Design GenAI-powered solutions using Retrieval-Augmented Generation (RAG) pipelines and LLM orchestration engines.
- Develop RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models.
The ideal candidate will have:
Core Skills Required:- Expert-level Python development skills including experience with FastAPI, Flask, asyncio.
- Strong understanding of microservices architecture and distributed systems.
- Hands-on experience with GenAI tools: LangChain, LlamaIndex, Hugging Face Transformers.
- Practical knowledge of deploying LLMs on cloud platforms (Azure OpenAI preferred).
- Experience with REST API design and integration with external AI services.
Secondary / Nice-to-Have Skills:
- Experience with agentic orchestration systems such as Autogen, Semantic Kernel, LangGraph.
- Exposure to fine-tuning open-source LLMs and deployment in containerized environments.
- Understanding of AI observability, performance tuning, and system logging.
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