AI Interaction Engineer (Sahibzada Ajit Singh Nagar)

AI Interaction Engineer (Sahibzada Ajit Singh Nagar)

12 Aug
|
XenonStack
|
Sahibzada Ajit Singh Nagar

12 Aug

XenonStack

Sahibzada Ajit Singh Nagar

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 â akira.ai
- Vision AI Platform â xenonstack.ai
- Inference AI Infrastructure for Agentic Systems â nexastack.ai

Our mission: Accelerate the world’s transition to AI + Human Intelligence by reimagining how enterprises adopt and scale agentic AI.

THE PROSPECT

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 interact

📌 AI Interaction Engineer (Sahibzada Ajit Singh Nagar)
🏢 XenonStack
📍 Sahibzada Ajit Singh Nagar

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