Kaseya is looking to build the intelligent core of its AI platform by engineering autonomous agents that perceive, reason, and learn in complex environments. This involves pioneering agentic design using LLMs, knowledge graphs, and reasoning engines to create adaptive, context-aware systems that operate in real-world conditions.
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)
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
- Collaborate with platform, data, and product teams to ensure seamless deployment and continuous improvement of intelligent agents
Other
- This position is 100% remote.
- Collaborative and innovative Staff Software Engineer with a strong foundation in agentic architectures and applied machine learning.
- Comfortable working across disciplines, communicating complex AI concepts to both technical and non-technical audiences, and contributing to a culture of experimentation and excellence.
- Leadership in AI innovation - whether through mentorship, publications, or open-source contributions - is highly valued.
- Prepared to go above and beyond for the betterment of our customers, and the betterment of their careers and long-term financial wealth.
