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AI Solution Designer
3 weeks ago
Job Title: Python Architect for Generative AI Solutions
">Job Description:
We are seeking an experienced Python Architect to lead the design and implementation of scalable AI solutions. The ideal candidate will have a strong background in backend engineering, recent production experience in Generative AI, and 8–10 years of core Python development experience.
This role is ideal for individuals who are passionate about architecting AI-driven applications, writing production-grade code, and enabling DevOps practices for enterprise environments.
Key Responsibilities:
- Design and implement Python-based microservices integrating GenAI capabilities
- Develop RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models
- Work with DevOps engineers to enable CI/CD, monitoring, and observability for GenAI pipelines
- Collaborate with ML engineers and data scientists to optimize GenAI system performance and scalability
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)
Additional Qualifications:
- 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