Junior AI Engineer

KEFRON • Dublin, D, IE

Actively Hiring

Full-time Posted 6 months ago

Role overview

check_circle Programming ML: Python, FastAPI, Transformers, Scikit-learn , deep learning libraries (TensorFlow, Keras, PyTorch, etc.) and modern agentic frameworks (e.g., LangChain, LlamaIndex).
check_circle LLMs: Open-source LLMs, Claude, GPT-5
check_circle NLP Models: BERT, RoBERTa and related architectures
check_circle Search Retrieval: Elasticsearch, Reranking Models, RAG pipelines
check_circle Data: DuckDB, MS SQL Server, Databricks
check_circle Deployment: Docker, Azure (CI/CD pipelines, Container Apps, cloud services)
check_circle Assist in designing, developing, and improving AI and ML models for AP automation use cases
check_circle Build and evaluate NLP and document-understanding models (OCR, extraction, classification, matching)
check_circle Support development of GenAI and RAG-based features, including chatbots and analytics assistants
check_circle Troubleshoot, debug, and optimize complex AI systems to ensure optimal performance, reliability, and scalability in production environments.
check_circle Evaluation Observability: Implementing LLM evaluation frameworks and monitoring for latency, accuracy, and tool usage.
check_circle Perform data analysis to identify patterns, errors, and improvement opportunities • Work with domain experts to translate business problems into AI solutions
check_circle Contribute to code quality through documentation, testing, and peer reviews
check_circle Stay up to date with emerging AI/ML and GenAI trends and apply relevant learnings

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
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

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

Fulltime Remote Ai Ai Engineer