Ai Researcher

ABOUT XENONSTACK XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems enabling enterprises to gain real-time intelligent business insights and operational resilience We innovate through Akira AI - Building Agentic Systems for AI Agents XenonStack Vision AI - Vision AI Platform NexaStack AI - Inference AI Infrastructure for Agentic Systems Our mission is to accelerate the world s transition to AI Human Intelligence by building intelligent trustworthy and adaptive AI systems for enterprises THE OPPORTUNITY We are seeking a passionate AI Researcher with a strong foundation in machine learning reinforcement learning and large language models LLMs to advance our research in Agentic AI systems In this role you will work closely with product and engineering teams to explore next-generation architectures reasoning models multimodal intelligence and reinforcement-based optimization helping shape how enterprises deploy and trust AI agents in production If you thrive at the intersection of theory experimentation and scalable systems and are driven to solve foundational problems in AI this is the role for you KEY RESPONSIBILITIES Core Research Conduct applied research on large language models reasoning systems and multi-agent architectures Explore and prototype reinforcement learning retrieval-augmented generation RAG and hierarchical memory systems for enterprise contexts Design run and evaluate experiments to improve context management generalization and reasoning accuracy Contribute to internal research publications model evaluation reports and open-source initiatives Applied Development Collaborate with engineering teams to translate research into deployable prototypes Build and evaluate agentic frameworks and orchestration strategies using LangChain LangGraph or equivalent Develop and test AI safety and interpretability techniques to ensure ethical and reliable model behavior Work on integrating research advancements into real-world AI applications and products Collaboration Impact Work cross-functionally with ML engineers data scientists and AI product teams Present findings in internal research forums and contribute to thought leadership Stay current with emerging research in LLMs RLHF multimodal AI and agentic reasoning SKILLS QUALIFICATIONS Must-Have Master s or Ph D in Computer Science Artificial Intelligence Machine Learning or related field 3-6 years of research experience in AI ML or NLP domains Strong expertise in deep learning frameworks PyTorch TensorFlow JAX Experience with LLMs Transformers RAG pipelines and reinforcement learning RLHF RLAIF Proficiency in Python and ML research tooling Weights Biases Hugging Face LangChain Ability to design conduct and analyze experiments with rigor Good-to-Have Research experience in multi-agent systems symbolic reasoning or causal inference Understanding of evaluation metrics for LLMs and AI safety principles Contributions to AI research papers open-source projects or conferences NeurIPS ICLR ICML ACL Familiarity with distributed training and optimization at scale WHY SHOULD YOU JOIN US Work Closely with Leadership - Collaborate with the CTO and Chief Scientist on next-generation AI architecture design High-Impact Research - Your work will directly influence how enterprises adopt trust and scale AI agents Career Growth - Progress into roles such as Principal AI Scientist Research Lead or AI Architect Global Exposure - Partner with Fortune 500 clients research collaborators and AI ecosystems worldwide Culture of Excellence - Our values Agency Taste Ownership Mastery Impatience and Customer Obsession empower you to lead with innovation and rigor Responsible AI First - Contribute to building ethical explainable and robust AI systems at scale XENONSTACK CULTURE - JOIN US MAKE AN IMPACT At XenonStack we believe in shaping the future of intelligent systems We foster a culture of cultivation built on bold human-centric leadership principles where deep work simplicity and adoption define everything we do Our Cultural Values Agency - Be self-directed and proactive Taste - Sweat the details and build with precision Ownership - Take responsibility for outcomes Mastery - Commit to continuous learning and growth Impatience - Move fast and embrace progress Customer Obsession - Always put the customer first Our Product Philosophy Obsessed with Adoption - Making AI agents enterprise-ready and accessible Obsessed with Simplicity - Turning complex AI research into intuitive reliable systems Be part of our mission to accelerate the world s transition to AI Human Intelligence by building the foundation for responsible autonomous and adaptive Agentic AI