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Senior Software Development Engineer

Foxit -
Dublin, County Dublin

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Job details

Full-time

Qualifications

Azure
Law
Computer Science
Software Engineering
Kubernetes
System design
Google Cloud Platform
Master's degree
AWS
Docker
Bachelor's degree
Computer Engineering
Document management systems
Python

Full job description

Senior Software Development Engineer

About Us:

Foxit is remaking the way the world interacts with documents through advanced PDF technology and tools. We are a leading global software provider of fast, affordable, and secure PDF solutions that are used by millions of people worldwide. Winner of numerous awards, Foxit has customers in more than 200 countries and global operations. We have a complete product line and an exciting and aggressive development schedule. Our proven PDF technology is disrupting the status quo establishment and has accelerated our company growth. We are proud to list as customers Google and Amazon, and with your skills and help, we plan to add many more. Foxit has offices all over the world, including locations in the US, Asia, Europe, and Australia.

For more information, visit us @ www.foxit.com

About the role:

Foxit is hiring a Software Engineer (Mid–Senior) to help build and scale AI-driven document systems. You’ll work on production services that ingest, manage, retrieve, and reason over large document collections—with a strong emphasis on PDFs and LLM-powered retrieval + analysis (RAG).

This is a hands-on engineering role for someone who enjoys owning critical components end-to-end: from document pipelines and APIs to evaluation, latency, and cost.

Location: Dublin, Ireland
Work Mode: Preferred Hybrid (2 Days from Office)

What you’ll do

Design, build, and operate production-grade Python services powering document and AI workflows
Own document ingestion and management pipelines, including reliability and scalability
Implement RAG / semantic search systems that combine LLMs with document retrieval
Develop and refine prompting and context management strategies for real-world usage
Build and maintain embedding pipelines and vector database integrations
Implement and optimise PDF processing (structure, metadata, extraction, layout considerations)
Design and maintain APIs for document services and AI capabilities
Deploy and run services using cloud infrastructure and containers
Establish monitoring + evaluation for LLM quality, latency, and cost
Mentor junior engineers and help raise engineering standards and best practices
Collaborate within an experienced team and take direction from team leads and peers

What you’ll bring (required)

Bachelor’s degree in Computer Science / Software Engineering (or related)
4–7+ years professional software engineering experience
Advanced Python skills (production backend/services)
Strong experience with LLMs, including prompt engineering and context management
Proven experience designing RAG and semantic search systems
Hands-on experience with embeddings and vector databases
Strong understanding of document management systems
Solid knowledge of PDF internals, extraction, and layout-related processing
Experience building and operating production systems (reliability, observability, performance)
Nice to have (bonus)
Experience with vLLM, Ollama, or similar inference/runtime tooling
OCR and layout tooling (e.g., Textract, Tesseract)
Cloud experience (AWS, Azure, or GCP)
Docker / Kubernetes (containerisation and orchestration)
Experience with security, access control, and GDPR-aligned system design

Why Foxit

Work on AI + document systems at scale, where PDFs and enterprise workflows are core
operate)
Flexible remote/hybrid options in Ireland, with collaboration in the Dublin area

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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