
Chief LLM Integration Specialist
1 week ago
We are seeking a skilled Senior Python AI Architect to lead the development and integration of Python-based applications with Large Language Models (LLMs).
- Leverage your expertise in Python to architect and implement scalable LLM pipelines, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation.
- Collaborate with cross-functional teams to design and deploy microservices and APIs for AI features, ensuring performance optimization, cost efficiency, and security in LLM workflows.
- Guide team members on Python best practices, code reviews, and technical problem-solving while staying updated on emerging AI/LLM advancements.
- Strong proficiency in Python, including FastAPI and Flask.
- Solid experience with LLM integration, including OpenAI API and Hugging Face Transformers.
- Understanding of RAG pipelines and vector databases like Pinecone, Weaviate, FAISS, and Milvus.
- Experience with prompt engineering & evaluation techniques, MLOps tools like MLflow, Kubeflow, and Langfuse, and deployment on cloud platforms.
- Familiarity with containerization and orchestration using Docker and Kubernetes.
- Strong grasp of REST APIs, GraphQL, and microservices architecture.
- Excellent leadership and mentoring abilities, strong problem-solving and analytical skills.
- Effective communication with technical and non-technical stakeholders.
- Ability to work in a fast-paced, evolving AI environment.
- Experience with agentic AI or Model Context Protocol (MCP) and background in data pipelines (ETL, streaming data).
- Exposure to AI security & compliance practices and prior work in scalable enterprise AI products.
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