Machine Learning Engineer, Human-AI Interaction
Machine Learning Engineer, Human-AI Interaction
xenonstack momentsEarly Applicant
- Posted 6 days ago
- Be among the first 10 applicants
Job Description
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
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
Must-Have
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
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
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.
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.
- 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.
- Agentic AI Product Company
- A Fast-Growing Category Leader
- Career Mobility & Growth
- Global Exposure
- Create Real Impact
- Culture of Excellence
- Responsible AI First
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.
- Obsessed with Adoption – Making AI accessible and enterprise-ready.
- Obsessed with Simplicity – Turning complexity into seamless, intuitive AI experiences.
More Info
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Key Skills
LangChain
Quantized inference
RLAIF
Knowledge graph integration
Vector databases
AgentBridge
LangGraph
A2A messaging
Context window limits
LLM architectures
RAG pipelines
Reward modeling
Prompt Engineering
LlamaIndex
Multi-agent orchestration
RLHF
Edge AI deployment

