About XenonstackXenonStack is a Data and AI Foundry for Agentic Systems, enabling enterprises to design, deploy, operate, and scale intelligent agents across digital and physical environments.
We Build Enterprise-grade Platforms Across The Agentic Stack
- * Akira AI — Reasoning and agent orchestration. Turn models into collaborative, policy-governed agents that learn and act together.
- ElixirData — Agentic analytics intelligence. Explainable, decision-centric analytics for measurable business outcomes.
- NexaStack — Agentic infrastructure automation. Secure, compliant AI deployment across cloud, edge, and on-prem.
- MetaSecure — Trust, compliance and defense. Continuous assurance with AI-BOMs, risk scoring, and agentic security.
Our mission is to accelerate the world’s transition to AI + Human Intelligence by making agentic systems reliable, responsible, and enterprise-ready.
THE OPPORTUNITYWe are seeking an Machine Learning Engineer, Human-AI Interaction to design, implement, and optimize the way AI agents understand, respond, and act within enterprise workflows.
This role sits at the intersection of linguistics, context engineering, and enterprise AI systems. You will blend prompt engineering, context orchestration, and memory architecture to ensure large language models (LLMs) and multi-agent systems are accurate, reliable, and compliant in production.
If you are passionate about making AI smarter, context-aware, and enterprise-ready, this role is for you.
Key Responsibilities
- * Prompt Engineering – Design, test, and refine prompt strategies to drive optimal agent behavior across diverse use cases.
- Context Orchestration – Build pipelines integrating RAG, knowledge graphs, APIs, and layered memory (short-term, long-term, episodic).
- Optimization – Optimize token usage and context allocation for long-running, multi-turn, and multi-agent workflows.
- Reusable Blueprints – Develop reusable interaction templates and context blueprints for engineering and product teams.
- Compliance & Guardrails – Implement safety, compliance, tone, and brand guardrails in agent workflows.
- Continuous Improvement – Use execution traces, feedback, and automated evaluation to improve agent responses.
- Experimentation – Conduct A/B testing on prompt and context variations to measure accuracy, latency, and cost trade-offs.
- Knowledge Management – Maintain a central library of tested interaction patterns and context management strategies.
- Research Tracking – Stay updated on multi-agent orchestration frameworks and the state of AI interaction design.
Skills & QualificationsMust-Have
- * 2–4 years in AI/ML engineering, NLP, or enterprise software development.
- Strong understanding of LLM architectures, prompt engineering, and context window limits.
- Hands-on with RAG pipelines, vector databases, and knowledge graph integration.
- Proficiency in Python and frameworks like LangChain, LangGraph, LlamaIndex.
- Familiarity with enterprise AI governance, privacy, and compliance standards.
- Proven ability to translate business objectives into structured AI interactions.
Good-to-Have
- * Experience with multi-agent orchestration (MCP, A2A messaging, AgentBridge).
- Knowledge of reinforcement learning (RLHF, RLAIF, reward modeling).
- Exposure to edge AI deployment and quantized inference.
- Domain knowledge in BFSI, GRC, SOC, or FinOps.
WHY SHOULD YOU JOIN US?
- * Agentic AI Product Company
Build enterprise-grade AI platforms powered by Machine Learning, Generative AI, and Agentic Systems. From Vision AI to Inference Infrastructure, you’ll shape products that redefine enterprise AI adoption.
- A Fast-Growing Category Leader
XenonStack is one of the fastest-growing Data and AI Foundries, setting benchmarks in how businesses deploy and scale AI agents with platforms like Akira AI, NexaStack, and Vision AI.
Move between roles and functions — from AI Engineering to Model Ops, AgentOps, or Systems Architecture— and craft a career that grows with your aspirations.
Work with Fortune 500 enterprises, BFSI leaders, and global innovators, delivering real-world impact across industries and geographies.
Contribute from day one. Even mid-level engineers design mission-critical interaction patterns that go directly into production.
Our values — Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession — empower you to push boundaries and innovate fearlessly.
Join a company that prioritizes trustworthy, explainable, and compliant AI. You’ll contribute to Responsible AI frameworks ensuring our agentic systems are not just powerful, but also ethical and reliable.
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 accessible and enterprise-ready.
- Obsessed with Simplicity – Turning complexity into seamless, intuitive AI experiences.
Be a part of our mission to accelerate the world’s transition to AI + Human Intelligence and reimagine how enterprises interact with AI agents.
