Job Description

Job Information

Date Opened


10/06/2025
Job Type


Full time
Industry


Technology
Work Experience


1-3 years
City


Mohali
State/Province


Punjab
Country


India
Zip/Postal Code


160075

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.