Backend AI Developer

Description

Globalbit is an award-winning IT services provider in Israel, specializing in digital solutions for Enterprises, SMEs, and government agencies.

With a portfolio of high-end software solutions serving over 200 million people globally, we have expertise in various industries including Pharma, Finance, Insurance, Defense, Retail, and High-tech.

Our success is driven by a professional team of 50 software engineers, QA testers, analysts, UI/UX specialists, and managers operating from our two development centers.

We are looking for an experienced Backend Developer with deep AI expertise to join our team in building an AI-powered system that streamlines document drafting, analysis, and processing.

You will be responsible for designing and implementing the backend infrastructure, integrating AI models, and ensuring seamless interaction with external systems.

Responsibilites

● AI Model Integration: Implement and optimize AI models for text generation, analysis, and refinement.

● Backend Development: Design, develop, and maintain scalable backend services and APIs.

● Data Processing & Retrieval: Ensure efficient data extraction, retrieval, and processing from various data sources.

● Document Automation: Develop AI-driven workflows for document structuring, validation, and text refinement.

● AI-Powered Search & Retrieval: Implement intelligent search and retrieval of relevant references and supporting data.

● Performance Optimization: Enhance AI response times and optimize backend performance for real-time processing.

● Security & Compliance: Ensure data privacy, security, and compliance with industry standards.

● API & Database Management: Design and maintain database structures and integrate APIs with external systems. 

Requirements

 5+ years of experience in backend development, preferably in AI-driven applications.

● Proficiency in Python (Django/FastAPI) or Node.js (Express/NestJS) for API development.

● Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or similar.

● Strong knowledge of NLP for text analysis, summarization, and semantic search.

● Understanding and experience with vector search databases (e.g., FAISS, Pinecone).

● Database expertise: PostgreSQL, MongoDB, or other NoSQL solutions.

● Cloud Services: Experience with AWS/GCP/Azure for scalable AI deployments.

● Experience in building and consuming APIs for integrating with third-party systems. 

Additional Requirements:

● The position is intended for freelance employment only from Eastern Europe.

● English B1, B2.

● Experience working in a service outsourcing company is highly preferred.