AI Engineer

Spait Infotech; Ireland; On-site; EUR 80,000 - 120,000; Full time

Job summary

Spait Infotech is seeking a skilled AI/ML engineer to design, develop, and deploy AI-powered solutions. You will build chatbots, integrate LLMs, and implement RAG workflows in real-world applications.

You will also prepare data, evaluate models, and work with vector databases to enable semantic search. The role requires hands-on experience with TensorFlow/PyTorch/Scikit-learn, LangChain or similar frameworks, and OpenAI or Gemini APIs.

Qualifications

• Proven experience building AI/ML solutions.
• Experience deploying AI-powered apps incl. chatbots.
• Familiarity with LLMs, Generative AI, and Prompt Engineering.
• Hands-on with OpenAI, Gemini, or similar APIs.
• Proficiency in TensorFlow, PyTorch, or Scikit-learn.

Responsibilities

• Design, develop, and implement AI/ML solutions.
• Build AI-powered apps, chatbots, and assistants.
• Integrate LLMs and Generative AI into business apps.
• Develop prompt engineering and RAG solutions.
• Prepare, clean, and analyze data for model development.
• Integrate AI models with web/mobile apps via REST APIs.
• Develop AI agents and intelligent automation.
• Test, evaluate, and optimize AI model performance.
• Work with vector databases and embeddings for semantic search.
• Collaborate with development teams to deploy and maintain AI solutions.

Skills

Python

AI/ML basics

Prompt engineering

REST/SQL

Git & Docker

Problem solving

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

LangGraph

LlamaIndex

OpenAI API

Gemini API

REST API

Docker

SQL

Git

Job description

• Design, develop, and implement AI and Machine Learning solutions.
• Build AI-powered applications, chatbots, and virtual assistants.
• Integrate Large Language Models (LLMs) and Generative AI into business applications.
• Develop prompt engineering techniques and Retrieval-Augmented Generation (RAG) solutions.
• Prepare, clean, process, and analyze data for AI model development.
• Integrate AI models with web and mobile applications using REST APIs.
• Develop and implement AI agents and intelligent automation solutions.
• Test, evaluate, fine-tune, and optimize AI model performance.
• Work with vector databases and embedding models for semantic search.
• Collaborate with development teams to deploy, maintain, and improve AI solutions.

Required Skills

• Strong knowledge of Python programming.
• Understanding of Artificial Intelligence, Machine Learning, and Deep Learning concepts.
• Knowledge of Generative AI, LLMs, and Prompt Engineering.
• Hands-on experience with OpenAI, Gemini, or similar AI APIs.
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of LangChain, LangGraph, LlamaIndex, or similar AI frameworks.
• Understanding of RAG architecture, embeddings, and vector databases.
• Knowledge of REST APIs, SQL, and database integration.
• Familiarity with Git, Docker, model evaluation, and AI application deployment.
• Good problem-solving, analytical, communication, and teamwork skills.