Developer AI, Automation

1 day ago

Ahmedabad, India Zenisth AI Full time

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, , 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)

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