Kaseya® is the leading provider of complete IT infrastructure and security management solutions for Managed Service Providers (MSPs) and internal IT organizations worldwide powered by AI. Kaseya’s best-in-breed technologies allow organizations to efficiently manage and secure IT to drive sustained business success. Kaseya has achieved sustained, strong double-digit growth over the past several years and is backed by Insight Venture Partners www.insightpartners.com), a leading global private equity firm investing in high-growth technology and software companies that drive transformative change in the industries they serve.
Founded in 2000, Kaseya currently serves customers in over 20 countries across a wide variety of industries and manages over 15 million endpoints worldwide. To learn more about our company and our award-winning solutions, go to www.Kaseya.com and for more information on Kaseya’s culture.
Kaseya is not your typical company. We are not afraid to tell you exactly who we are and our expectations. The thousands of people that succeed at Kaseya are prepared to go above and beyond for the betterment of our customers.
WHAT YOU’LL DO:
Join the dynamic team at Kaseya as a Staff Software Engineer in AI Platform Engineering. Build the intelligent core of our AI platform by engineering autonomous agents that perceive, reason, and learn in complex environments. You’ll pioneer agentic design using LLMs, knowledge graphs, and reasoning engines to create adaptive, context-aware systems that operate in real-world conditions.
WHAT WE ARE LOOKING FOR:
We’re looking for a collaborative and innovative Staff Software Engineer with a strong foundation in agentic architectures and applied machine learning. You should be 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.
ESSENTIAL DUTIES AND 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
WHAT YOU’LL BRING:
- 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
- Preferred: PhD in AI, Cognitive Science, or a related discipline
- Certifications in AI/ML (e.g., DeepLearning.AI, Google Cloud ML Engineer) are a plus
Nice to Have:
- Contributions to open-source AI projects
- Experience with causal inference and its application in agent decision-making
- Familiarity with formal methods for agent behavior verification
- Background in human-AI interaction design and UX for AI-powered applications
- Experience developing agents for domains like cybersecurity or IT operations automation
- Knowledge of neuro-symbolic AI and reinforcement learning from human feedback (RLHF) or direct preference optimization (DPO)
Join the Kaseya growth rocket ship and see how we are #ChangingLives !
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Join the Kaseya growth rocket ship and see how we are #ChangingLives !
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
