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Avanquest

AI Integration Engineer

Avanquest

AI Integration Engineer at Avanquest focused on embedding AI capabilities in software solutions. Engaging in development spanning backend, API design, and web technologies.

Posted 5/29/2026full-timeKrakow • 🇵🇱 PolandMid-LevelSeniorWebsite

About the role

Key responsibilities & impact
  • 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
  • Own observability - latency, throughput, GPU utilization, and cost-per-call dashboards
  • 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
  • Manage API keys, usage metering, and per-user AI feature flags on the client layer
  • 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
  • Design and optimize prompts for extraction, summarization, classification, and conversational AI workflows
  • Implement task queues and async workers to handle high-volume document processing reliably
  • Define evals and quality benchmarks for extraction accuracy, classification, and generation quality
  • Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners
  • Partner with product, data science, and DevOps/MLOps to ship AI features reliably and at scale
  • Stay current on the open-source model ecosystem and advise on model selection and upgrades.

Requirements

What you’ll need
  • 3+ years of software engineering experience spanning backend, API design, and web technologies
  • Proven experience deploying or integrating LLMs in production - open-source model experience strongly preferred
  • Hands-on knowledge of REST API design principles and at least one API framework
  • Experience building or integrating AI features in a web app, including streaming/async response handling
  • Familiarity with document processing workflows - parsing, OCR, extraction, or classification at scale
  • Comfort 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.

Benefits

Comp & perks
  • A fair compensation for your value
  • Bonus program, paid vacation leave and competitive corporate benefits
  • We are committed to maximizing your potential and ensuring your professional development
  • Interaction with local and international teams
  • A friendly and collaborative work environment, where authenticity and well-being are a priority

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
open-source LLMsvLLMOllamaTGIREST APIquantizationbatchingconcurrency tuningOCRRAG pipelines
Soft Skills
strong communication skillscollaborationreasoning about trade-offs