Junior Software Engineer - AI & Document Systems

Foxitsoftware

Dublin Remote permanent

Posted: January 12, 2026

Job Description

Junior Software Engineer (AI & Document Systems)
Location: Ireland (Hybrid — Dublin area)
Type: Full-time

About the role
Foxit is hiring a Junior Software Engineer to join our Ireland-based team building AI-powered, document-centric applications. This role is a strong fit for a recent graduate or early-career engineer with solid Python fundamentals and genuine curiosity about LLMs and document systems.
You’ll learn by doing—working alongside senior engineers to build and improve software that processes, manages, and analyses documents (especially PDFs) using modern AI techniques.

What you’ll do
Develop and maintain Python-based applications and services
Support delivery of AI-powered features using LLMs in document workflows
Assist with prompting and context management for document-focused use cases
Contribute to document ingestion and management workflows
Help process and extract information from PDF documents (text + structure basics)
Work with embeddings and introductory semantic search concepts
Write clean, tested, and well-documented code
Collaborate via code reviews, team discussions, and iterative delivery
Take direction from team leads and grow your skills through mentorship

What you’ll bring (required)
Bachelor’s degree in Computer Science / Software Engineering (or related)
Strong Python skills and good software fundamentals
Foundational understanding of AI and LLM concepts
Exposure to prompting and LLM-driven workflows (coursework, projects, internship, etc.)
Basic knowledge of document management concepts
Familiarity with PDF structure and text extraction concepts
Strong problem-solving mindset and willingness to learn quickly

Nice to have (bonus)
Introductory experience with RAG concepts
Familiarity with embeddings and/or vector databases
Exposure to vLLM, Ollama, or similar tooling
Basic understanding of REST APIs
Awareness of data privacy and GDPR principles

What success looks like
You ramp quickly on our codebase and ship reliable improvements
You collaborate well (communication, reviews, asking good questions)
You build confidence in LLM/document workflows while strengthening engineering fundamentals

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