AI Architect, AI Developer

Summary

Join our team as an experienced AI Architect / Developer to design and develop a next-generation, AI-first fleet management platform. This greenfield opportunity allows you to build intelligent systems that scale, leveraging AI to improve operational efficiency, driver safety, and compliance. You will drive technical strategy, design core AI services, and implement features such as digital driver's license verification, AI-powered document search, natural language query support, and a virtual AI assistant. The position is 100% remote from Poland (Lublin preferred) and offers a long-term contract starting in June 2025. We offer flexible working hours, medical insurance, annual bonuses, life insurance, and a non-corporate work atmosphere.

Requirements

• Bachelor's or Master’s degree in Computer Science, AI/ML, or related fields
• Total 5+ years of software development and software architecture experience
• At least 3 years of experience in AI/ML field
• Deep expertise in: LLMs and NLP technologies (Transformers, LangChain, etc.)
• Deep expertise in: OCR tools
• Deep expertise in: Backend development using Java
• Deep expertise in: Databases: PostgreSQL
• Experience with prompt engineering and retrieval-augmented generation (RAG)
• Familiarity with Kubernetes, Docker, and CI/CD tools (GitHub, Jenkins)
• Understanding of data privacy, digital identity verification, and compliance
• English proficiency at B2 level

Responsibilities

• Design and develop a cloud-native AI-first architecture
• Ensure the architecture is modular, scalable, secure, and optimized for AI/ML workloads
• Implement an AI-powered document ingestion and search system with support for OCR from scanned documents, and PDFs
• Develop natural-language search functionality using LLMs (e.g., Google Document AI workbench) and prompt engineering techniques tailored to fleet management
• Build a virtual AI assistant capable of understanding and responding to fleet-related queries and performing predefined tasks
• Design and integrate a secure driver's license verification workflow, using image processing, validation APIs, and digital signatures
• Define infrastructure as code (IaC) for scalable deployment across cloud providers (AWS)
• Define data pipelines for structured and/or unstructured data ingestion
• Integrate third-party models or build custom AI/ML models for fleet-specific insights and automation
• Work closely with product managers, Backend (Java) and Frontend developers
• Provide guidance on AI best practices, model performance, and responsible AI use

Benefits

• Flexible working hours
• Medical insurance
• International clients
• 100% remote work
• Annual bonuses
• Life insurance
• Non-corporate work atmosphere
• Integration events
• Additional days off
• Training and development budget