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 robust 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.

📌 AI Researcher (Sahibzada Ajit Singh Nagar)
🏢 XenonStack Moments
📍 Sahibzada Ajit Singh Nagar