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.