Ai Researcher

2 days ago


Mohali Punjab, India XenonStack Full time

**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.**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 A


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