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13 hours ago
A highly skilled Artificial Intelligence Architect is sought to lead the development and integration of Python-based applications with large language models (LLMs). The successful candidate will design scalable microservices and APIs for AI features, collaborating with MLOps teams to deploy and monitor AI models in production.
Required Skills and Qualifications:
- Strong proficiency in Python (FastAPI, Flask) and experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex).
- Understanding of Retrieval-Augmented Generation (RAG) pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus).
- Experience with prompt engineering & evaluation techniques and knowledge of MLOps tools (MLflow, Kubeflow, Langfuse).
- Familiarity with containerization and orchestration (Docker, Kubernetes), REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
Benefits:
- Opportunity to work in a fast-paced, evolving AI environment with exposure to emerging advancements and technologies.
- Excellent leadership and mentoring abilities, strong problem-solving and analytical skills, effective communication with technical and non-technical stakeholders.
Others:
- Ability to work on agentic AI or Model Context Protocol (MCP) projects, background in data pipelines (ETL, streaming data) and exposure to AI security & compliance practices.
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