Drive the future of autonomous AI as part of our core research team. You'll research and develop breakthrough agentic AI technologies, working on problems that define the next generation of intelligent systems. This role offers the unique opportunity to see your research directly impact real-world applications.
Responsibilities
Research and develop novel AI agentic architectures and algorithms
Implement autonomous decision-making systems for various domains
Publish research findings and represent FactoFlare at AI conferences
Collaborate with product teams to translate research into commercial features
Stay at the forefront of AI agent research and multi-agent systems
Requirements
Master's or PhD in AI, Machine Learning, Computer Science, or related field
3+ years of experience in AI research or advanced development
Deep understanding of reinforcement learning and agent-based systems
Strong programming skills in Python and ML frameworks
Track record of research publications or significant AI projects
Passion for building autonomous intelligent systems
Preferred Qualifications
Experience with multi-agent systems and autonomous coordination
Knowledge of large language models and their agentic applications
Background in cognitive architectures or decision-making systems
Previous startup or fast-paced research environment experience
About FactoFlare
FactoFlare is a leading AI technology company focused on developing intelligent solutions that help businesses streamline operations, enhance productivity, and drive innovation. We are committed to creating a diverse, inclusive workplace where all employees can thrive and contribute to our mission of making advanced AI technology accessible and beneficial to organizations of all sizes.
We offer competitive compensation, comprehensive benefits, and a cooperative, flex
📌 AI Research Engineer (Bengaluru)
🏢 FactoFlare AI
📍 Bengaluru
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