AI Engineer: Build Generative AI Apps & Agents

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

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.