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Python LLM Architect
2 weeks ago
Job Overview
- We are seeking an accomplished professional to lead the development and integration of Python-based applications with Large Language Models (LLMs).
Mandatory Skills
- Strong proficiency in Python programming language, specifically with frameworks like FastAPI and Flask.
- Solid experience with LLM integration using APIs from OpenAI, Hugging Face Transformers, LangChain, and LlamaIndex.
- Familiarity with Retrieval-Augmented Generation (RAG) pipelines, including vector databases such as Pinecone, Weaviate, FAISS, and Milvus.
- Knowledge of prompt engineering and evaluation techniques, as well as MLOps tools like MLflow, Kubeflow, and Langfuse for deployment on cloud platforms.
- Experience with containerization and orchestration using Docker and Kubernetes.
- Strong understanding of REST APIs, GraphQL, and microservices architecture.
Optional Skills
- Effective leadership and mentoring abilities, with a strong focus on problem-solving and analytical skills.
- Excellent communication skills, with the ability to interact with technical and non-technical stakeholders.
- Ability to work in a fast-paced environment with emerging AI technologies.
- Familiarity with agentic AI or Model Context Protocol (MCP), as well as background in data pipelines (ETL, streaming data).
- Exposure to AI security and compliance practices, particularly in scalable enterprise AI products.