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AI Integrator

Summary

Builds and deploys AI-powered document processing pipelines, including model-serving APIs, OCR workflows, and RAG systems, integrating LLMs into web apps for features like chat, search, and smart suggestions.

Job Description
Our customer is one of the world’s top 10 software publishers, trusted by more than 10 million customers worldwide. The company develops innovative Creativity & Learning software, Utilities, and Multimedia solutions, leveraging cutting-edge technologies to deliver seamless, secure, and user-friendly experiences for both consumers and businesses. With over 650,000 software products sold every year - and one purchase made every few seconds - they continue to shape the future of digital software.
We’re looking for an AI Integration Engineer to join this mission and take ownership of the model-serving API, AI-powered web application features, and the orchestration backbone of a next-generation document processing platform. This is a high-impact, full-stack role for engineers who want to build real AI systems - not just integrate third-party APIs.

Job Benefits

  • Competitive salary
  • Sick, personal leave
  • Flexible working hours
  • Flexible working location (Remote/Office/Mixed)
  • Technical equipment
  • Professional development and regular Performance Appraisals
  • Health Insurance
  • Online courses
  • Corporate events, tech talks, and so on

Requirements

  • 3+ years of experience across backend, API design, and web technologies;
  • Proven track record deploying or integrating LLMs in production (open-source models strongly preferred);
  • Hands-on knowledge of REST API design and at least one API framework;
  • Experience building AI features in web apps, including streaming and async response handling;
  • Familiarity with document processing workflows — OCR, parsing, classification at scale;
  • Comfortable designing multi-step orchestration pipelines with task queues, retries, and failure handling;
  • Strong communication skills; able to reason about trade-offs across latency, cost, and accuracy with stakeholders.

Responsibilities
Model Serving & API

  • Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure;
  • Design and maintain a REST API with auth, rate limiting, versioning, and API documentation;
  • Optimize inference: quantization, batching, and concurrency tuning for latency/cost trade-offs.

Web App Integration

  • Integrate AI features into our web apps and document processing platforms;
  • Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets;
  • Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses.

Document Orchestration

  • Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction;
  • Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images;
  • Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora;
  • Implement task queues and async workers to handle high-volume document processing reliably.

Platform & Collaboration

  • Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners;
  • Stay current on the open-source model ecosystem and advise on model selection and upgrades.

Who we are
Proffiz is a web and mobile software engineering company of dedicated professionals based in Ukraine and Poland. Throughout years of passionate work, we create software solutions for Fintech, Print, Photo&Image, and other industries. At Proffiz, we strive to deliver top-quality of our work and are looking for exceptional talent to join us. If you are excited about the opportunity to collaborate and grow among passionate experts — we invite you to our team!
Ready, Steady, Go!)

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