<\/span>– Inference AI Infrastructure for Agentic Systems
<\/p><\/li><\/ul>Our mission is to help enterprises transform into <\/span>future -ready, data -driven organizations<\/b> <\/span>through <\/span>Cloud Native Platforms, Decision -Driven Analytics, and AI -powered solutions<\/b>.
<\/p>The Opportunity<\/b>
<\/h3>
We are seeking an <\/span>Agentic AI Engineer<\/b> <\/span>to design, develop, and deploy intelligent AI agents that can reason, plan, and act autonomously within enterprise workflows. In this role, you will work at the intersection of <\/span>LLMs, reasoning systems, orchestration frameworks, and real -world integrations<\/b> <\/span>to deliver measurable business impact.
<\/p>If you have experience in <\/span>LLM -powered applications, multi -agent architectures, and building tool -augmented AI systems<\/b>, this is your chance to shape the future of enterprise automation.
<\/p>Key Responsibilities<\/b>
<\/h3>
Agentic System Development<\/b>
<\/p>Design, build, and optimize <\/span>autonomous AI agents<\/b> <\/span>using frameworks such as <\/span>LangChain, LangGraph, CrewAI, AutoGen<\/b>, or similar.
<\/p><\/li>Implement <\/span>multi -agent collaboration workflows<\/b> <\/span>with shared memory, context management, and task orchestration.
<\/p><\/li><\/ul>LLM Integration & Reasoning<\/b>
<\/p>Fine -tune and integrate <\/span>LLMs<\/b> <\/span>(OpenAI, Anthropic, LLaMA, Mistral, etc.) for reasoning, planning, and decision -making tasks.
<\/p><\/li>Develop <\/span>tool -using agents<\/b> <\/span>that can interface with APIs, databases, and third -party services.
<\/p><\/li><\/ul>System Architecture & Orchestration<\/b>
<\/p>Work with <\/span>Model Context Protocol (MCP)<\/b> <\/span>and <\/span>A2A (Agent -to -Agent)<\/b> <\/span>messaging for scalable orchestration.
<\/p><\/li>Implement <\/span>hybrid reasoning + retrieval<\/b> <\/span>pipelines (vector + knowledge graph).
<\/p><\/li><\/ul>Performance & Safety<\/b>
<\/p>Optimize <\/span>inference performance<\/b> <\/span>and reduce operational costs on platforms like <\/span>NexaStack<\/b>.
<\/p><\/li>Implement <\/span>guardrails, monitoring, and evaluation<\/b> <\/span>to ensure safe and reliable agent behavior.
<\/p><\/li><\/ul>Collaboration & Deployment<\/b>
<\/p>Work closely with product, platform, and data engineering teams to integrate agents into enterprise systems.
<\/p><\/li>
Deploy AI agents to <\/span>cloud, edge, or on -device environments<\/b> <\/span>as required.
<\/p><\/li><\/ul>Skills & Qualifications<\/b>
<\/h3>
Technical Skills<\/b>
<\/p>Bachelor’s or Master’s in <\/span>Computer Science, AI/ML, or related field<\/b>.
<\/p><\/li>2–4 years in <\/span>AI/ML engineering<\/b>, with direct experience in <\/span>LLM and agentic AI development<\/b>.
<\/p><\/li>Proficiency in <\/span>Python<\/b> <\/span>and libraries/frameworks such as LangChain, LangGraph, CrewAI, AutoGen.
<\/p><\/li>Experience with <\/span>RAG pipelines, vector databases (Pinecone, Weaviate, Milvus)<\/b>, and <\/span>knowledge graphs<\/b>.
<\/p><\/li>Understanding of <\/span>distributed systems, API integration, and cloud -native architectures<\/b>.
<\/p><\/li>Familiarity with <\/span>observability and monitoring<\/b> <\/span>for AI systems.
<\/p><\/li><\/ul>Professional Attributes<\/b>
<\/p>Strong problem -solving and analytical thinking.
<\/p><\/li>
Ability to translate <\/span>business workflows into autonomous AI solutions<\/b>.
<\/p><\/li>Excellent communication and collaboration skills.
<\/p><\/li>
Passion for exploring emerging AI capabilities and best practices.
<\/p><\/li><\/ul>
Career Growth & Benefits<\/b>
<\/h3>
1. Continuous Learning & Growth<\/b>
<\/p>Access to certifications and advanced AI/ML workshops.
<\/p><\/li>
Work on <\/span>cutting -edge Agentic AI and enterprise automation projects<\/b>.
<\/p><\/li><\/ul>2. Recognition & Rewards<\/b>
<\/p>Performance -based incentives and special recognition for innovation.
<\/p><\/li><\/ul>
3. Work Benefits & Well -Being<\/b>
<\/p>Comprehensive medical insurance.
<\/p><\/li>
Additional allowances for project -based roles.
<\/p><\/li>
Cab facility for women employees.
<\/p><\/li><\/ul>
Life at XenonStack – Join Us & Make an Impact<\/b>
<\/h3>
At XenonStack, we cultivate a <\/span>growth -driven, people -first culture<\/b> <\/span>built on bold leadership, collaboration, and innovation. We value <\/span>deep work<\/b>, an <\/span>obsession with adoption<\/b>, and a commitment to delivering solutions that are both impactful and elegantly simple.
<\/p>Our Product Philosophy:<\/b>
<\/p>Obsessed with Adoption<\/b> <\/span>– Designing every solution to make AI accessible and accelerate enterprise adoption.
<\/p><\/li>Obsessed with Simplicity<\/b> <\/span>– Transforming complexity into seamless, intuitive, and measurable outcomes.
<\/p><\/li><\/ul>Join us in our mission to <\/span>accelerate the world’s transition to AI + Human Intelligence<\/b>, and be part of shaping how enterprises work, think, and grow.
<\/p><\/span>
<\/div><\/span>
