12 nov
|
Set Europa
|
Milano
pSET Europa provides near shore, recruitment and outsourcing services and solutions for immediate project needs.
/p pOur client is a recruitment consultancy specializing in IT, Finance, HR, and Digital Technology.
/p pWe 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.
/p h3RESPONSIBILITIES /h3 ul liDevelop and maintain AI-powered applications using Python, LLMs, RAG architecture, and AI agents.
/li liDesign and implement provider-agnostic interfaces for LLMs and embedding models.
/li liBuild document ingestion pipelines, including PDF parsing, OCR, intelligent chunking, metadata extraction, and vector indexing.
/li liImplement hybrid retrieval systems combining semantic search and keyword-based search.
/li liDevelop AI agents with structured inputs, defined schemas, and validated outputs.
/li liIntegrate embedding models and vector databases into AI applications.
/li liDesign evaluation frameworks to measure retrieval quality, classification accuracy, citation validity, and LLM performance.
/li liOptimize prompts and AI workflows to improve accuracy, reliability,
and efficiency.
/li liEnsure compliance with AI security, data governance, and data residency requirements.
/li liCollaborate with technical teams and subject matter experts to translate business requirements into AI solutions.
/li liProduce clear technical documentation.
/li /ul h3Requirements /h3 ul li3-5 years of professional experience in Python development or software engineering.
/li liStrong proficiency in Python.
/li liMandatory hands-on experience developing AI applications using LLMs and RAG.
/li liPractical experience with AI agents and agent-based workflows.
/li liExperience working with embeddings, vector databases, and semantic search.
/li liKnowledge of prompt engineering and LLM evaluation techniques.
/li liExperience processing unstructured documents, including PDFs and OCR.
/li liFamiliarity with AI security, governance, and data protection principles.
/li liStrong problem-solving skills and ability to work independently.
/li liTechnical engineering background or equivalent relevant qualification.
/li liGood command of English.
/li liEuropean Union citizenship is mandatory.
/li /ul h3VALUEABLE /h3 pExperience with some of the following technologies will be highly valued: /p ul liVector databases: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant.
/li liEmbeddings: Sentence Transformers, Hugging Face, OpenAI Embeddings.
/li liAI evaluation: Ragas, DeepEval, LangSmith.
/li /ul #J-*****-Ljbffr
📌 Python Developer (Milano)
🏢 Set Europa
📍 Milano