Developer AI, Automation & Intelligent Document Systems

We are looking for a full-time Developer with strong experience in building intelligent tools and workflows powered by AI, automation, and document processing technologies.

You will work on a range of projects involving natural language processing (NLP), LLM integration, PDF and document automation, and multilingual content handling. The ideal candidate is skilled in modern AI tooling, with a solid understanding of vector databases, token optimization for large language models (LLMs), and system integration.

This is a long-term opportunity for someone who thrives in technically dynamic environments and can contribute to both current and future AI-driven development initiatives.

Role & responsibilities

• Design and develop modular, scalable tools leveraging AI and automation
• Integrate document parsing, language translation, and structured data extraction
• Optimize prompts and payloads for efficient LLM use (minimizing token usage)
• Use vector databases for document search, retrieval, and contextual enhancement
• Build pipelines that combine NLP, document generation, and workflow orchestration
• Automate repetitive data and content processing tasks across languages and formats
• Collaborate on architecture decisions, best practices, and code reviews
• Write clean, maintainable, and well-documented code

Preferred candidate profile

• Core Development:

Strong programming experience in Python

RESTful API development and integration

Familiarity with containerization (e.g., Docker)

• AI & NLP Tooling:

Experience using LLMs (OpenAI, Hugging Face Transformers, etc.)

Translation APIs: Google, DeepL, Azure, Hugging Face models

Orchestration tools like LangChain, LlamaIndex, or similar

Prompt engineering and token optimization for LLMs

Experience with Vector Databases such as FAISS, Pinecone,Weaviate, or Chroma

• Document Processing:

Libraries: PyMuPDF, pdfminer.six, pdfplumber

PDF generation tools: ReportLab, WeasyPrint, or HTML-to-PDF tools

RTL and multilingual support: python-bidi, arabic-reshaper, Unicode handling

Bonus Skills (Nice to Have):

• Knowledge of data analytics, data science, or machine learning
• Familiarity with OCR tools (Tesseract, Google Vision, etc.)
• Knowledge of agentic AI frameworks (LangGraph, AutoGen, CrewAI)
• Cloud deployment experience (AWS, GCP, or Azure)
• Experience handling structured documents (e.g., tables, forms, templates)