Agentic AI Engineer

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About XenonStack<\/b>
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XenonStack is the fastest\-growing <\/span>Data and AI Foundry for Agentic Systems<\/b>, enabling people and organizations to gain <\/span>real\-time, intelligent business insights<\/b>.
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We deliver innovation through:
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  • Akira AI<\/a><\/b> <\/span>\u2013 Building Agentic Systems for AI Agents
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  • XenonStack Vision AI<\/a><\/b> <\/span>\u2013 Vision AI Platform
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  • NexaStack AI<\/a><\/b> <\/span>\u2013 Inference AI Infrastructure for Agentic Systems
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    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>.
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    The Opportunity<\/b>
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    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.
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    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.
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    Key Responsibilities<\/b>
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    Agentic System Development<\/b>
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    • Design, build, and optimize <\/span>autonomous AI agents<\/b> <\/span>using frameworks such as <\/span>LangChain, LangGraph, CrewAI, AutoGen<\/b>, or similar.
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    • Implement <\/span>multi\-agent collaboration workflows<\/b> <\/span>with shared memory, context management, and task orchestration.
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      LLM Integration & Reasoning<\/b>
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      • Fine\-tune and integrate <\/span>LLMs<\/b> <\/span>(OpenAI, Anthropic, LLaMA, Mistral, etc.) for reasoning, planning, and decision\-making tasks.
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      • Develop <\/span>tool\-using agents<\/b> <\/span>that can interface with APIs, databases, and third\-party services.
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        System Architecture & Orchestration<\/b>
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        • Work with <\/span>Model Context Protocol (MCP)<\/b> <\/span>and <\/span>A2A (Agent\-to\-Agent)<\/b> <\/span>messaging for scalable orchestration.
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        • Implement <\/span>hybrid reasoning + retrieval<\/b> <\/span>pipelines (vector + knowledge graph).
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          Performance & Safety<\/b>
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          • Optimize <\/span>inference performance<\/b> <\/span>and reduce operational costs on platforms like <\/span>NexaStack<\/b>.
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          • Implement <\/span>guardrails, monitoring, and evaluation<\/b> <\/span>to ensure safe and reliable agent behavior.
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            Collaboration & Deployment<\/b>
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            • Work closely with product, platform, and data engineering teams to integrate agents into enterprise systems.
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            • Deploy AI agents to <\/span>cloud, edge, or on\-device environments<\/b> <\/span>as required.
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              Skills & Qualifications<\/b>
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              Technical Skills<\/b>
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              • Bachelor\u2019s or Master\u2019s in <\/span>Computer Science, AI/ML, or related field<\/b>.
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              • 2\u20134 years in <\/span>AI/ML engineering<\/b>, with direct experience in <\/span>LLM and agentic AI development<\/b>.
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              • Proficiency in <\/span>Python<\/b> <\/span>and libraries/frameworks such as LangChain, LangGraph, CrewAI, AutoGen.
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              • Experience with <\/span>RAG pipelines, vector databases (Pinecone, Weaviate, Milvus)<\/b>, and <\/span>knowledge graphs<\/b>.
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              • Understanding of <\/span>distributed systems, API integration, and cloud\-native architectures<\/b>.
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              • Familiarity with <\/span>observability and monitoring<\/b> <\/span>for AI systems.
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                Professional Attributes<\/b>
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                • Strong problem\-solving and analytical thinking.
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                • Ability to translate <\/span>business workflows into autonomous AI solutions<\/b>.
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                • Excellent communication and collaboration skills.
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                • Passion for exploring emerging AI capabilities and best practices.
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                  Career Growth & Benefits<\/b>
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                  1. Continuous Learning & Growth<\/b>
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                  • Access to certifications and advanced AI/ML workshops.
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                  • Work on <\/span>cutting\-edge Agentic AI and enterprise automation projects<\/b>.
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                    2. Recognition & Rewards<\/b>
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                    • Performance\-based incentives and special recognition for innovation.
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                      3. Work Benefits & Well\-Being<\/b>
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                      • Comprehensive medical insurance.
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                      • Additional allowances for project\-based roles.
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                      • Cab facility for women employees.
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                        Life at XenonStack \u2013 Join Us & Make an Impact<\/b>
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                        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.
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                        Our Product Philosophy:<\/b>
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                        • Obsessed with Adoption<\/b> <\/span>\u2013 Designing every solution to make AI accessible and accelerate enterprise adoption.
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                        • Obsessed with Simplicity<\/b> <\/span>\u2013 Transforming complexity into seamless, intuitive, and measurable outcomes.
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                          Join us in our mission to <\/span>accelerate the world\u2019s transition to AI + Human Intelligence<\/b>, and be part of shaping how enterprises work, think, and grow.
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