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Selected role

Junior AI Engineer

KEFRON Dublin, D, IE

Senior Full-time

Position Reports to: Software Development Manager

Location: Dublin/Hybrid

About Kefron

Kefron Digital is a fast-growing information management company with a SaaS-based Accounts Payable (AP) Automation platform. We support over 300 customers across Ireland, the UK, and Europe, with growing plans for a US presence.

At Kefron, we believe technology works best when it’s built close to real customer problems. Our strength lies in our people—experts who take pride in delivering reliable, secure, and high quality solutions that customers trust.

Our Vision:Our brands in every building

Our Mission: To get closer to our customers. See the need, deliver the solution

Our Values:

Passion Pride
Security Trust
Initiative Ownership

About The Role

We are looking for a Junior AI Engineer to join the AI team at Kefron, working on the automation and intelligence layer of our Accounts Payable platform (Kefron AP)

The AI team’s remit spans the full AP processing lifecycle, with the goal of progressively automating and augmenting every stage of AP using AI. This includes—but is not limited to—document understanding, matching, coding, analytics, reporting, AI-driven document generation, and customer interaction.

You will assist in building, testing, deploying, and monitoring AI and Agentic AI features that automate and enhance key AP workflows such as Extraction, Matching, Coding, reporting etc. This is a hands-on engineering role designed for someone early in their AI/ML career who wants exposure to production AI systems, not just experimentation.

You will work closely with senior AI engineers, product managers, and domain experts, gaining experience across the full AI lifecycle—from prototyping to production.

Technology Stack

You will gain exposure to a modern AI stack, including:

Programming ML: Python, FastAPI, Transformers, Scikit-learn , deep learning libraries (TensorFlow, Keras, PyTorch, etc.) and modern agentic frameworks (e.g., LangChain, LlamaIndex).
LLMs: Open-source LLMs, Claude, GPT-5
NLP Models: BERT, RoBERTa and related architectures
Search Retrieval: Elasticsearch, Reranking Models, RAG pipelines
Data: DuckDB, MS SQL Server, Databricks
Deployment: Docker, Azure (CI/CD pipelines, Container Apps, cloud services)

Key Responsibilities(Key Responsibilities include, but may not be limited to)

Assist in designing, developing, and improving AI and ML models for AP automation use cases
Build and evaluate NLP and document-understanding models (OCR, extraction, classification, matching)
Support development of GenAI and RAG-based features, including chatbots and analytics assistants
Troubleshoot, debug, and optimize complex AI systems to ensure optimal performance, reliability, and scalability in production environments.
Evaluation Observability: Implementing LLM evaluation frameworks and monitoring for latency, accuracy, and tool usage.
Perform data analysis to identify patterns, errors, and improvement opportunities • Work with domain experts to translate business problems into AI solutions
Contribute to code quality through documentation, testing, and peer reviews
Stay up to date with emerging AI/ML and GenAI trends and apply relevant learnings

*Personal Specification

Required Qualifications**:

Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
0–2 years of experience (or strong academic/project experience) working with ML or AI systems
Strong Python programming skills
Strong understanding of machine learning concepts such as model training, evaluation, and feature engineering
Exposure to NLP, transformers, or LLM-based systems (academic or practical)
Basic understanding of SQL and working with structured data
Strong problem-solving mindset and willingness to learn

Preferred Qualifications (Nice to have)

Deep understanding of foundational ML concepts (gradient descent, model training, attention, embeddings, transfer learning).
Exposure to AI Agents, RAG architectures, or chatbots
Familiarity with Docker and cloud platforms (Azure preferred)
Experience with Spark / PySpark or Databricks
Experience with data visualisation tools such as Matplotlib, Plotly, or similar

What We Offer:

Hybrid working model (Dublin office + remote)
Mentorship from experienced AI and engineering professionals
Opportunity to work on production AI systems used by real customers
Exposure to cutting-edge AI, LLMs, and Agentic AI use cases
A collaborative, learning-focused environment with real ownership

*Right to Work

Applicants must have the legal right to work in Ireland**.

Kefron is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

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