Python Developer
6 ore fa
Prato Provincia di Prato, Toscana, Italia
Set Europa
Tempo pieno
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SET Europa provides near shore, recruitment and outsourcing services and solutions for immediate project needs. Our client is a recruitment consultancy specializing in IT, Finance, HR, and Digital Technology. We are seeking an experienced Python Developer with strong hands-on experience in Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents to join a remote project focused on developing an AI-driven document analysis platform. The successful candidate will be responsible for building scalable AI-powered solutions, integrating LLMs, developing document processing pipelines, implementing intelligent retrieval systems, and designing multi-agent workflows. RESPONSIBILITIES
* Develop and maintain AI-powered applications using Python, LLMs, RAG architecture, and AI agents.
* Design and implement provider-agnostic interfaces for LLMs and embedding models.
* Build document ingestion pipelines, including PDF parsing, OCR, intelligent chunking, metadata extraction, and vector indexing.
* Implement hybrid retrieval systems combining semantic search and keyword-based search.
* Develop AI agents with structured inputs, defined schemas, and validated outputs.
* Integrate embedding models and vector databases into AI applications.
* Design evaluation frameworks to measure retrieval quality, classification accuracy, citation validity, and LLM performance.
* Optimize prompts and AI workflows to improve accuracy, reliability, and efficiency.
* Ensure compliance with AI security, data governance, and data residency requirements.
* Collaborate with technical teams and subject matter experts to translate business requirements into AI solutions.
* Produce clear technical documentation. Requirements
* 3-5 years of professional experience in Python development or software engineering.
* Strong proficiency in Python.
* Mandatory hands-on experience developing AI applications using LLMs and RAG.
* Practical experience with AI agents and agent-based workflows.
* Experience working with embeddings, vector databases, and semantic search.
* Knowledge of prompt engineering and LLM evaluation techniques.
* Experience processing unstructured documents, including PDFs and OCR.
* Familiarity with AI security, governance, and data protection principles.
* Strong problem-solving skills and ability to work independently.
* Technical engineering background or equivalent relevant qualification.
* Good command of English.
* European Union citizenship is mandatory. VALUEABLE Experience with some of the following technologies will be highly valued:
* Vector databases: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant.
* Embeddings: Sentence Transformers, Hugging Face, OpenAI Embeddings.
* AI evaluation: Ragas, DeepEval, LangSmith. #J-18808-Ljbffr
* Develop and maintain AI-powered applications using Python, LLMs, RAG architecture, and AI agents.
* Design and implement provider-agnostic interfaces for LLMs and embedding models.
* Build document ingestion pipelines, including PDF parsing, OCR, intelligent chunking, metadata extraction, and vector indexing.
* Implement hybrid retrieval systems combining semantic search and keyword-based search.
* Develop AI agents with structured inputs, defined schemas, and validated outputs.
* Integrate embedding models and vector databases into AI applications.
* Design evaluation frameworks to measure retrieval quality, classification accuracy, citation validity, and LLM performance.
* Optimize prompts and AI workflows to improve accuracy, reliability, and efficiency.
* Ensure compliance with AI security, data governance, and data residency requirements.
* Collaborate with technical teams and subject matter experts to translate business requirements into AI solutions.
* Produce clear technical documentation. Requirements
* 3-5 years of professional experience in Python development or software engineering.
* Strong proficiency in Python.
* Mandatory hands-on experience developing AI applications using LLMs and RAG.
* Practical experience with AI agents and agent-based workflows.
* Experience working with embeddings, vector databases, and semantic search.
* Knowledge of prompt engineering and LLM evaluation techniques.
* Experience processing unstructured documents, including PDFs and OCR.
* Familiarity with AI security, governance, and data protection principles.
* Strong problem-solving skills and ability to work independently.
* Technical engineering background or equivalent relevant qualification.
* Good command of English.
* European Union citizenship is mandatory. VALUEABLE Experience with some of the following technologies will be highly valued:
* Vector databases: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant.
* Embeddings: Sentence Transformers, Hugging Face, OpenAI Embeddings.
* AI evaluation: Ragas, DeepEval, LangSmith. #J-18808-Ljbffr