ABOUT XENONSTACK

XenonStack is the fastest-growingData and AI Foundry for Agentic Systems, enabling enterprises to gainreal-time, intelligent business insightsand 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 toAI + Human Intelligenceby building intelligent, trustworthy, and adaptive AI systems for enterprises.

THE OPPORTUNITY

We are seeking a passionateAI Researcherwith a strong foundation inmachine learning, reinforcement learning, and large language models (LLMs)to advance our research inAgentic AI systems.

In this role, you will work closely with product and engineering teams to explorenext-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 oftheory, 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 onlarge language models, reasoning systems, and multi-agent architectures.
Explore and prototypereinforcement learning, retrieval-augmented generation (RAG), and hierarchical memorysystems for enterprise contexts.
Design, run, and evaluate experiments to improvecontext 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 evaluateagentic frameworks and orchestration strategiesusing LangChain, LangGraph, or equivalent.
Develop and testAI safety and interpretability techniquesto ensure ethical and reliable model behavior.
Work on integrating research advancements intoreal-world AI applications and products.

Collaboration & Impact

Work cross-functionally withML engineers, data scientists, and AI product teams.
Present findings in internal research forums and contribute to thought leadership.
Stay current with emerging research inLLMs, RLHF, multimodal AI, and agentic reasoning.

SKILLS & QUALIFICATIONS

Must-Have

Master’s or Ph.D. inComputer Science, Artificial Intelligence, Machine Learning, or related field.
3–6 years of research experiencein AI, ML, or NLP domains.
Strong expertise indeep learning frameworks(PyTorch, TensorFlow, JAX).
Experience withLLMs, Transformers, RAG pipelines, and reinforcement learning (RLHF, RLAIF).
Proficiency inPythonand ML research tooling (Weights & Biases, Hugging Face, LangChain).
Ability to design, conduct, and analyze experiments with rigor.

Good-to-Have

Research experience inmulti-agent systems, symbolic reasoning, or causal inference.
Understanding ofevaluation metrics for LLMsand AI safety principles.
Contributions toAI research papers, open-source projects, or conferences(NeurIPS, ICLR, ICML, ACL).
Familiarity withdistributed 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 asPrincipal AI Scientist, Research Lead, or AI Architect.
Global Exposure– Partner withFortune 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 buildingethical, explainable, and robust AI systemsat scale.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

At XenonStack, we believe inshaping the future of intelligent systems. We foster aculture of cultivationbuilt on bold, human-centric leadership principles, wheredeep work, simplicity, and adoptiondefine 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 toaccelerate the world’s transition to AI + Human Intelligence— by building the foundation for responsible, autonomous, and adaptive Agentic AI.

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