AI Interaction Engineer

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.

• 
  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 combines prompt engineering, context orchestration, and memory architecture to ensure large language models (LLMs) and multi-agent systems operate with high accuracy, reliability, and compliance.

If you are passionate about making AI smarter, context-aware, and enterprise-ready, and you thrive at the intersection of linguistics, AI systems, and user experience, this role is for you.

RESPONSIBILITIES

• 
  Design, test, and refine prompt strategies to drive optimal AI behavior across diverse use cases.

• 
  Build context pipelines integrating RAG, knowledge graphs, APIs, and layered memory (short-term, long-term, episodic).

• 
  Optimize token usage and context allocation for long-running, multi-turn, and multi-agent workflows.

• 
  Develop reusable interaction templates and context blueprints for product and engineering teams.

• 
  Collaborate with ML, product, and domain experts to align AI interactions with enterprise and regulatory requirements.

• 
  Implement guardrails for safety, compliance, tone, and brand alignment.

• 
  Leverage execution traces, user feedback, and automated evaluation to continuously improve AI interactions.

• 
  Conduct A/B testing on prompt and context variations to measure impact on accuracy, latency, and cost.

• 
  Maintain a central library of tested interaction patterns and context management strategies.

• 
  Stay updated on state-of-the-art AI interaction techniques and emerging multi-agent orchestration frameworks.

SKILLS & QUALIFICATIONS

Must-Have:

• 
  3–5 years in AI/ML engineering, NLP, or enterprise software development.

• 
  Strong understanding of LLM architectures, prompt engineering, and context window limitations.

• 
  Hands-on experience with RAG pipelines, vector databases, and knowledge graph integration.

• 
  Proficiency in Python and AI orchestration frameworks (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.

CAREER GROWTH & BENEFITS

Continuous Learning & Growth

• 
  Certification sponsorships in AI interaction design, prompt optimization, and context engineering.

• 
  Hands-on experience with enterprise-scale agentic AI deployments.

Recognition & Rewards

• 
  Incentives for innovation in AI interaction design and context optimization.

• 
  Fast-track opportunities into AI Systems Architecture or Model Ops leadership roles.

Work Benefits & Well-Being

• 
  Comprehensive medical insurance and project-based allowances.

• 
  Cab facilities for women employees and special project perks.

XENONSTACK CULTURE – JOIN US & MAKE AN IMPACT!

We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems.

Product Values:

• 
  Obsessed with Adoption – Making AI accessible and enterprise-ready.

• 
  Obsessed with Simplicity – Turning complexity into seamless, intuitive AI experiences.

Be a part of our vision to accelerate the world’s transition to AI + Human Intelligence.