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XenonStack Moments

Machine Learning Engineer, Human-AI Interaction

Sahibzada Ajit Singh Nagar, Punjab
via TheirStack

First seen Sep 28 · seen live today · via TheirStack

Skills mentioned

pythongomachine learningnlp

The posting, as published

**About Xenonstack** XenonStack is the fastest-growing **Data and AI Foundry for Agentic Systems** , enabling people and organizations to gain **real-time and intelligent business insights** . **We Deliver Innovation Through** - Agentic Systems for AI Agents → akira.ai - Vision AI Platform → xenonstack.ai - Inference AI Infrastructure for Agentic Systems → nexastack.ai Our mission: Accelerate the world’s transition to **AI + Human Intelligence** by reimagining how enterprises adopt and scale agentic AI. **THE OPPORTUNITY** We are seeking an **AI Interaction Engineer** 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 & Qualifications** **Must-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** . - Career Mobility & Growth Move between roles and functions — from **AI Engineering to Model Ops, AgentOps, or Systems Architecture** — and craft a career that grows with your aspirations. - Global Exposure Work with **Fortune 500 enterprises, BFSI leaders, and global innovators** , delivering real-world impact across industries and geographies. - Create Real Impact Contribute from day one. Even mid-level engineers design **mission-critical interaction patterns** that go directly into production. - Culture of Excellence Our values — **Agency, Taste, Ownership, Mastery, Impatience, and Customer Obsession** — empower you to push boundaries and innovate fearlessly. - Responsible AI First 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.

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