AI Integration Engineer

Avanquest; Kraków; On-site; PLN 80,000 - 100,000; Full time

Benefits offered by this job

Bonus program

Paid vacation leave

Competitive corporate benefits

Professional development opportunities

Collaborative work environment

Job summary

Avanquest in Kraków is looking for an AI Integration Engineer to develop and integrate AI capabilities in their products. This role offers the opportunity to work on deploying LLMs and building AI-powered web app features.

The candidate should have over 3 years of software engineering experience, especially in API design and LLM integration. Avanquest values professional development and offers a friendly, collaborative work environment.

Qualifications

• 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.

Responsibilities

• Evaluate and deploy open-source LLMs via vLLM or Ollama on GPU infrastructure.
• Design and maintain a REST API with auth, rate limiting, versioning, and documentation.
• Build AI‑powered UI components: chat interfaces, inline suggestions, and smart search.
• Design multi‑step orchestration pipelines for document ingestion and processing.

Skills

Software engineering experience

API design

Integration of LLMs

AI feature integration

Document processing workflows

Multi-step orchestration pipelines

Communication skills

Job description

Job Details

We're building AI deeply into our product stack - from open‑source model serving to the interfaces our users interact with every day. As an AI Integration Engineer, you'll own three interconnected layers: a model‑serving REST API, AI‑powered web app features, and the orchestration backbone of our document processing platform. This is a high‑ownership, full‑stack role for an engineer who wants to ship real AI systems, not just call third‑party APIs.

Key Responsibilities

Model Serving & REST 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;
• Own observability - latency, throughput, GPU utilization, and cost‑per‑call dashboards.

Web App Integration

• Integrate AI features into our web app's 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.

Document Processing 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;
• 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.

Platform & Collaboration

• 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

• 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.

What we offer

• 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.