
Python Developer
2 days ago
We are seeking an experienced Python Architect with a strong foundation in backend engineering and recent production experience in Generative AI. The ideal candidate will have 8–10 years of core Python development experience, along with 2–2.5 years of focused engineering work in GenAI and microservices.
The 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, and developing RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI/Azure OpenAI or open-source models.
Primary Responsibilities:
- 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
- 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
- Lead design sessions, code reviews, and mentor junior engineers on architectural best practices
- Implement agentic workflows using Semantic Kernel, LangGraph, or similar orchestration tools
- Ensure system reliability, scalability, and security across GenAI-enabled services
Required Skills and Qualifications:
- 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
- Familiarity with vector databases like FAISS, Pinecone, or Weaviate
- DevOps practices: CI/CD with GitHub Actions, Docker, Kubernetes, Terraform
- Proven ability to design scalable, maintainable, and testable AI-driven applications
Benefits:
This is an excellent opportunity to leverage your technical expertise and passion for Generative AI to drive business growth and innovation. Our team offers a collaborative and dynamic work environment that fosters professional development and creativity.
Other Information:
If you are a motivated and innovative individual with a strong background in Python development and Generative AI, we encourage you to apply for this exciting opportunity.
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