Python Developer

Set Europa

Valencia

Remote

EUR 67,000 - 100,000

Full time

5 days ago
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Job summary

Set Europa is seeking a Python Developer to join a remote project building an AI-driven document analysis platform. You will implement AI-powered applications, integrate LLMs, and design document processing pipelines.

Responsibilities include developing hybrid retrieval, multi-agent workflows, and ensuring data governance and security while collaborating with cross-functional teams. Fluency in English and EU citizenship are required for the role.

Qualifications

  • 3–5 years of professional Python development experience.
  • Hands-on AI application development using LLMs and RAG.
  • Experience with AI agents and agent-based workflows.
  • Experience with embeddings, vector databases and semantic search.
  • Knowledge of prompt engineering and LLM evaluation techniques.
  • Experience processing unstructured documents (PDFs) and OCR.
  • Familiarity with AI security, governance, and data protection.
  • Strong problem-solving skills and ability to work independently.
  • Technical engineering background or equivalent qualification.
  • Good command of English; EU citizenship is mandatory.

Responsibilities

  • Develop and maintain AI-powered applications using Python, LLMs, RAG, and AI agents.
  • Design provider-agnostic interfaces for LLMs and embedding models.
  • Build document ingestion pipelines (PDF parsing, OCR, chunking, metadata, vector indexing).
  • Implement hybrid retrieval with semantic and keyword search.
  • Develop AI agents with defined schemas and outputs.
  • Integrate embeddings and vector databases into AI apps.
  • Design evaluation frameworks for retrieval quality, accuracy, and LLM performance.
  • Optimize prompts and AI workflows for reliability and efficiency.
  • Ensure AI security, governance, and data residency compliance.
  • Collaborate with teams to translate business requirements into AI solutions.
  • Produce clear technical documentation.

Skills

Python development
LLMs and RAG
AI agents
Embeddings & vector DBs
Prompt engineering
PDF/OCR processing
Independent problem solving
English communication

Education

Engineering degree or equivalent

Tools

LangChain
LangGraph
LlamaIndex
Pinecone
FAISS
ChromaDB
Weaviate
Qdrant
PyMuPDF
pdfplumber
Tesseract OCR
Unstructured

Job description

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.
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