FreeHire

XenonStack

AI Researcher

Show

ABOUT XENONSTACK<\/b>
<\/h3>

XenonStack is the fastest\-growing <\/span>Data and AI Foundry for Agentic Systems<\/b>, enabling enterprises to gain <\/span>real\-time, intelligent business insights<\/b> <\/span>and operational resilience.
<\/p>

We innovate through:
<\/p>

  • Akira AI<\/b> <\/span>\u2013 Building Agentic Systems for AI Agents
    <\/p><\/li>

  • XenonStack Vision AI<\/b> <\/span>\u2013 Vision AI Platform
    <\/p><\/li>

  • NexaStack AI<\/b> <\/span>\u2013 Inference AI Infrastructure for Agentic Systems
    <\/p><\/li><\/ul>

    Our mission is to accelerate the world\u2019s transition to <\/span>AI + Human Intelligence<\/b> <\/span>by building intelligent, trustworthy, and adaptive AI systems for enterprises.
    <\/p>

    THE OPPORTUNITY<\/b>
    <\/h3>

    We are seeking a passionate <\/span>AI Researcher<\/b> <\/span>with a strong foundation in <\/span>machine learning, reinforcement learning, and large language models (LLMs)<\/b> <\/span>to advance our research in <\/span>Agentic AI systems<\/b>.
    <\/p>

    In this role, you will work closely with product and engineering teams to explore <\/span>next\-generation architectures, reasoning models, multimodal intelligence, and reinforcement\-based optimization<\/b> <\/span>\u2014 helping shape how enterprises deploy and trust AI agents in production.
    <\/p>

    If you thrive at the intersection of <\/span>theory, experimentation, and scalable systems<\/b>, and are driven to solve foundational problems in AI, this is the role for you.
    <\/p>

    KEY RESPONSIBILITIES<\/b>
    <\/h3>

    Core Research<\/b>
    <\/p>

    • Conduct applied research on <\/span>large language models, reasoning systems, and multi\-agent architectures<\/b>.
      <\/p><\/li>

    • Explore and prototype <\/span>reinforcement learning, retrieval\-augmented generation (RAG), and hierarchical memory<\/b> <\/span>systems for enterprise contexts.
      <\/p><\/li>

    • Design, run, and evaluate experiments to improve <\/span>context management, generalization, and reasoning accuracy<\/b>.
      <\/p><\/li>

    • Contribute to internal research publications, model evaluation reports, and open\-source initiatives.
      <\/p><\/li><\/ul>

      Applied Development<\/b>
      <\/p>

      • Collaborate with engineering teams to translate research into deployable prototypes.
        <\/p><\/li>

      • Build and evaluate <\/span>agentic frameworks and orchestration strategies<\/b> <\/span>using LangChain, LangGraph, or equivalent.
        <\/p><\/li>

      • Develop and test <\/span>AI safety and interpretability techniques<\/b> <\/span>to ensure ethical and reliable model behavior.
        <\/p><\/li>

      • Work on integrating research advancements into <\/span>real\-world AI applications and products<\/b>.
        <\/p><\/li><\/ul>

        Collaboration & Impact<\/b>
        <\/p>

        • Work cross\-functionally with <\/span>ML engineers, data scientists, and AI product teams<\/b>.
          <\/p><\/li>

        • Present findings in internal research forums and contribute to thought leadership.
          <\/p><\/li>

        • Stay current with emerging research in <\/span>LLMs, RLHF, multimodal AI, and agentic reasoning<\/b>.
          <\/p><\/li><\/ul>

          SKILLS & QUALIFICATIONS<\/b>
          <\/h3>

          Must\-Have<\/b>
          <\/p>

          • Master\u2019s or Ph.D. in <\/span>Computer Science, Artificial Intelligence, Machine Learning, or related field<\/b>.
            <\/p><\/li>

          • 3\u20136 years of research experience<\/b> <\/span>in AI, ML, or NLP domains.
            <\/p><\/li>

          • Strong expertise in <\/span>deep learning frameworks<\/b> <\/span>(PyTorch, TensorFlow, JAX).
            <\/p><\/li>

          • Experience with <\/span>LLMs, Transformers, RAG pipelines, and reinforcement learning (RLHF, RLAIF)<\/b>.
            <\/p><\/li>

          • Proficiency in <\/span>Python<\/b> <\/span>and ML research tooling (Weights & Biases, Hugging Face, LangChain).
            <\/p><\/li>

          • Ability to design, conduct, and analyze experiments with rigor.
            <\/p><\/li><\/ul>

            Good\-to\-Have<\/b>
            <\/p>

            • Research experience in <\/span>multi\-agent systems, symbolic reasoning, or causal inference<\/b>.
              <\/p><\/li>

            • Understanding of <\/span>evaluation metrics for LLMs<\/b> <\/span>and AI safety principles.
              <\/p><\/li>

            • Contributions to <\/span>AI research papers, open\-source projects, or conferences<\/b> <\/span>(NeurIPS, ICLR, ICML, ACL).
              <\/p><\/li>

            • Familiarity with <\/span>distributed training and optimization at scale<\/b>.
              <\/p><\/li><\/ul>

              WHY SHOULD YOU JOIN US?<\/b>
              <\/h3>

              • Work Closely with Leadership<\/b> <\/span>\u2013 Collaborate with the CTO and Chief Scientist on next\-generation AI architecture design.
                <\/p><\/li>

              • High\-Impact Research<\/b> <\/span>\u2013 Your work will directly influence how enterprises adopt, trust, and scale AI agents.
                <\/p><\/li>

              • Career Growth<\/b> <\/span>\u2013 Progress into roles such as <\/span>Principal AI Scientist, Research Lead, or AI Architect<\/b>.
                <\/p><\/li>

              • Global Exposure<\/b> <\/span>\u2013 Partner with <\/span>Fortune 500 clients, research collaborators, and AI ecosystems worldwide<\/b>.
                <\/p><\/li>

              • Culture of Excellence<\/b> <\/span>\u2013 Our values \u2014 <\/span>Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession<\/b> <\/span>\u2014 empower you to lead with innovation and rigor.
                <\/p><\/li>

              • Responsible AI First<\/b> <\/span>\u2013 Contribute to building <\/span>ethical, explainable, and robust AI systems<\/b> <\/span>at scale.
                <\/p><\/li><\/ul>

                XENONSTACK CULTURE \u2013 JOIN US & MAKE AN IMPACT!<\/b>
                <\/h3>

                At XenonStack, we believe in <\/span>shaping the future of intelligent systems<\/b>. We foster a <\/span>culture of cultivation<\/b> <\/span>built on bold, human\-centric leadership principles, where <\/span>deep work, simplicity, and adoption<\/b> <\/span>define everything we do.
                <\/p>

                Our Cultural Values<\/b>
                <\/p>

                • Agency<\/b> <\/span>\u2013 Be self\-directed and proactive.
                  <\/p><\/li>

                • Taste<\/b> <\/span>\u2013 Sweat the details and build with precision.
                  <\/p><\/li>

                • Ownership<\/b> <\/span>\u2013 Take responsibility for outcomes.
                  <\/p><\/li>

                • Mastery<\/b> <\/span>\u2013 Commit to continuous learning and growth.
                  <\/p><\/li>

                • Impatience<\/b> <\/span>\u2013 Move fast and embrace progress.
                  <\/p><\/li>

                • Customer Obsession<\/b> <\/span>\u2013 Always put the customer first.
                  <\/p><\/li><\/ul>

                  Our Product Philosophy<\/b>
                  <\/p>

                  • Obsessed with Adoption<\/b> <\/span>\u2013 Making AI agents enterprise\-ready and accessible.
                    <\/p><\/li>

                  • Obsessed with Simplicity<\/b> <\/span>\u2013 Turning complex AI research into intuitive, reliable systems.
                    <\/p><\/li><\/ul>

                    Be part of our mission to <\/span>accelerate the world\u2019s transition to AI + Human Intelligence<\/b> <\/span>\u2014 by building the foundation for responsible, autonomous, and adaptive Agentic AI.
                    <\/p>


                    <\/div><\/span>