Artificial Intelligence Platforms Software Engineer

2 weeks ago

Dublin, Dublin City, Ireland beBeeSoftware Full time €150,000 - €200,000

Kaseya, the leading provider of complete IT infrastructure and security management solutions for MSPs and internal IT organizations worldwide, is powered by AI.

We have achieved sustained, strong double-digit growth over the past several years and are backed by Insight Venture Partners.

Our best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. We currently serve customers in over 20 countries across a wide variety of industries and manage over 15 million endpoints worldwide.

We are not your typical company. We are bold, gritty, and accountable. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers, and their careers and long-term financial wealth.

**Job Summary:**

A Staff Software Engineer in AI Platform Engineering position is available at Kaseya.

**Key Responsibilities:**

  • Design and implement autonomous AI agents capable of perception, reasoning, and learning in complex, real-world environments.
  • Develop and optimize agentic architectures using LLMs, vector databases, and symbolic reasoning engines.
  • Apply advanced RAG techniques, prompt engineering, and fine-tuning to enhance agent performance.
  • Integrate knowledge graphs and multi-modal capabilities to enable contextual and adaptive agent behavior.
  • Build robust evaluation frameworks, A/B testing pipelines, and model versioning systems.

**Requirements:**

  • 5-7+ years of experience in applied AI/ML, with a strong focus on building intelligent systems and autonomous agents.
  • Deep expertise in Python and/or TypeScript.
  • Hands-on experience with multiple LLMs (e.g., GPT, Llama, Claude, Gemini), including fine-tuning, advanced RAG techniques, and prompt engineering.
  • Proficiency with agent frameworks such as LangChain, LangGraph, AutoGen, or CrewAI.
  • Experience developing agent planning and reasoning algorithms (e.g., Tree of Thoughts, ReAct, Monte Carlo Tree Search).
  • Strong background in model evaluation, A/B testing, and versioning for AI models.
  • Familiarity with vector databases (e.g., Pinecone, Milvus, Chroma).
  • Experience with knowledge graphs (e.g., Neo4j, RDF) and symbolic AI approaches.
  • Understanding of multi-modal LLM capabilities and responsible AI practices.
  • Experience with explainable AI (XAI) and responsible AI toolkits.
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
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