Python Developer

Location: Europe (Remote)
Contract: Freelance (6-12 months)
The Company
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:
AI frameworks: LangChain, LangGraph, LlamaIndex, CrewAI.
LLMs: OpenAI, Azure OpenAI, Anthropic Claude, open-source models.
Vector databases: Pinecone, FAISS, ChromaDB, Weaviate, Qdrant.
Embeddings: Sentence Transformers, Hugging Face, OpenAI Embeddings.
Document processing: PyMuPDF, pdfplumber, Tesseract OCR, Unstructured.
AI evaluation: Ragas, DeepEval, LangSmith.
Backend development: FastAPI, REST APIs.

Work arrangement
Yes