NLP Python Engineer

Infotree Global Solutions Inc.; Polska; On-site; PLN 180,000 - 260,000; Full time

Job summary

Infotree Global Solutions Inc. is seeking a skilled AI/NLP engineer to develop and deploy automation for audit-related tasks using advanced prompts and production-grade Python.

You will work closely with backend, frontend, and product teams to translate business requirements into scalable AI workflows, leveraging RAG, semantic search, and OCR-enabled pipelines to process vendor data efficiently.

Qualifications

• Experience in NLP and AI workflow design.
• Ability to translate business needs into technical requirements.
• Proficiency in Python and production-grade coding practices.

Responsibilities

• Design and implement AI-driven workflows to automate audit-related tasks.
• Collaborate with backend, frontend and product teams to deliver end-to-end solutions.
• Translate business needs into clear technical specifications and scalable architectures.

Skills

NLP

Prompt engineering

Python

OpenAI API

RAG pipelines

Semantic search

Document handling

OCR pipelines

Education

Bachelor's degree in CS/Math/AI

Tools

GPT-4o

OpenAI Enterprise features

Job description

Project description:

The client aims to use AI to automate repetitive, research-intensive tasks related to organizing, comparing, and filling out audit reports for their vendors. This will help reduce the manual effort currently required.

Stack:

• Essential Skills: Extensive experience in NLP, especially advanced prompt engineering, and strong Python skills with hands-on experience using the OpenAI API.


• Key Expertise: Expertise in prompt engineering and use case design, including creating reusable prompt libraries and multi-step workflows. Experience with Retrieval-Augmented Generation (RAG) pipelines, semantic search, and document handling is also required.


• Other experience: Practical experience with OCR pipelines and text extraction. Experience with common OpenAI models, particularly GPT-4o, and familiarity with OpenAI Enterprise features are also needed.

Team structure:

The role involves collaborating with cross-functional teams, including backend, frontend, and product teams.

English:

Proficiency at B2/C1 level.

Add. Info:

The position requires the candidate to be able to understand and translate business needs into effective AI workflows and to write clean, production-ready code. They should also have experience collaborating with cross-functional teams (backend, frontend, and product) and be able to present technical concepts to both business and technical audiences.

---