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1 day ago
We are seeking a seasoned Python Lead/Architect with expertise in backend engineering and hands-on experience in Generative AI.
- This role involves designing and implementing scalable AI solutions using Retrieval-Augmented Generation (RAG) pipelines and LLM orchestration engines.
- The ideal candidate will have extensive knowledge of core Python development, including FastAPI, Flask, and asyncio, as well as 2-2.5 years of focused engineering work in GenAI and microservices.
Key Responsibilities:
- Develop RESTful APIs and backend services integrating GenAI capabilities.
- Collaborate with DevOps engineers to ensure system reliability, scalability, and security across GenAI-enabled services.
- Lead design sessions, code reviews, and mentor junior engineers on architectural best practices.
Core Skills Required:
- Expert-level Python development skills.
- 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.
Secondary / Nice-to-Have Skills:
- Experience with agentic orchestration systems.
- 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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