AI Researcher

Job Description

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.

Requirements

AI researcher, Reinforcement learning, LLM Architectures