AI Interaction Engineer

XenonStack; Mohali; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

XenonStack is seeking an AI Interaction Engineer to design, implement, and optimize how AI agents understand, respond, and act within enterprise workflows. You will blend prompt engineering, context orchestration, and memory architecture to ensure LLMs and multi-agent systems are accurate, reliable, and compliant in production.

This role sits at the intersection of linguistics and enterprise AI, requiring collaboration with engineering and product teams to create reusable interaction templates

Qualifications

• 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.

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 – Improve token usage and context allocation for long-running, multi-turn workflows.
• Reusable Blueprints – Develop templates and context blueprints for product teams.
• Compliance & Guardrails – Implement safety, compliance, tone, and brand guardrails in agent workflows.
• Continuous Improvement – Use execution traces, feedback, and automation to improve responses.
• Experimentation – Conduct A/B testing to measure accuracy, latency, and cost trade-offs.
• Knowledge Management – Maintain a central library of interaction patterns and context strategies.
• Research Tracking – Stay updated on multi-agent orchestration frameworks.

Skills

AI/ML engineering

NLP

Prompt engineering

Context orchestration

Python

LangChain

LangGraph

LlamaIndex

Data governance & privacy

Education

Bachelor's in CS/AI/SE

Tools

LangChain

LangGraph

LlamaIndex

Vector databases

APIs integration

Job description

XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling people and organizations to gain real-time and intelligent business insights .

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.