TechChefz - Python Architect - Generative AI

Python Architect - Generative AI

Experience : 8-12 Years

We are seeking a visionary Python Architect with a deep foundation in enterprise backend engineering and extensive, hands-on experience in Generative AI at scale.

The ideal candidate will have 8-12 years of core Python development experience, including a significant tenure (at least 2.5 years) focused on architecting and delivering GenAI and microservices in production.

This role is for a senior leader who can define the technical vision, establish architectural standards, and guide multiple engineering teams in building scalable, secure, and robust AI-powered solutions.

Primary Responsibilities :

- Architectural Leadership : Define and own the architectural roadmap for enterprise-grade Python microservices and GenAI platforms.

- System Design : Design end-to-end GenAI-powered solutions, with a focus on Retrieval-Augmented Generation (RAG) pipelines and sophisticated LLM orchestration engines.

- Technical Governance : Establish technical standards, best practices, and governance for RESTful API design and backend services using FastAPI/Flask, ensuring seamless integration with OpenAI/Azure OpenAI or open-source models.

- DevOps & MLOps Strategy : Collaborate with DevOps and MLOps teams to define and enable a cohesive CI/CD, monitoring, and observability strategy for all GenAI pipelines and services.

- Strategic Collaboration : Partner with ML engineers and data scientists to optimize system-level performance and scalability, ensuring the long-term viability of AI solutions.

- Team Guidance : Lead by example, conducting high-level design reviews, setting architectural direction, and mentoring multiple engineering teams on technical excellence.

- Advanced Orchestration : Drive the adoption and implementation of advanced agentic workflows using frameworks like Semantic Kernel, LangGraph, or other cutting-edge orchestration tools.

- Platform Security : Champion and ensure system reliability, security, and scalability across the entire portfolio of GenAI-enabled services.

Core Skills Required :

- Python Mastery : Expert-level Python development skills, with deep experience in designing and building with frameworks like FastAPI, Flask, and asyncio.

- Architectural Design : A proven track record of architecting and delivering complex, distributed microservices and systems at enterprise scale.

- GenAI Expertise : In-depth, hands-on experience with GenAI tools, including LangChain, LlamaIndex, Hugging Face Transformers, and their production deployment.

- Cloud Platform Leadership : Extensive experience deploying and managing LLMs on cloud platforms, with a strong preference for Azure OpenAI.

- API & Data Design : Expertise in REST API design, system integration, and advanced use of vector databases like FAISS, Pinecone, or Weaviate.

- DevOps Strategy : Strategic understanding and practical experience with DevOps practices, including CI/CD with GitHub Actions, Docker, Kubernetes, and Terraform.

- Technical Leadership : Demonstrated ability to lead complex technical initiatives and define architectural direction for a group of engineers.

Secondary / Nice-to-Have Skills :

- Agentic Orchestration : Experience with multi-agent systems and advanced orchestration tools like Autogen or LangGraph.

- LLM Lifecycle Management : Background in fine-tuning, serving, and managing the lifecycle of open-source LLMs in a production environment.

- Observability & Security : Deep understanding of AI observability, security, and performance tuning at a systemic level.

- MLOps & Data Science : A background in MLOps and a proven ability to collaborate effectively with Data Science and ML teams to deliver business value