<\/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>
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We are looking for a <\/span>hands -on Agentic AI Engineer<\/b> <\/span>to develop and integrate AI agents into enterprise workflows. This role is ideal for engineers who have worked with <\/span>LLMs and AI applications<\/b> <\/span>and are excited to explore <\/span>multi -agent systems, orchestration frameworks, and tool integration<\/b>.
<\/p>You will be working closely with <\/span>senior engineers and product teams<\/b>, gaining exposure to advanced agentic AI architectures while building high -impact features.
<\/p>Key Responsibilities<\/b>
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AI Agent Development<\/b>
<\/p>Build and customize <\/span>AI agents<\/b> <\/span>using frameworks like <\/span>LangChain, LangGraph, CrewAI, or AutoGen<\/b>.
<\/p><\/li>Implement <\/span>context management and tool -using capabilities<\/b> <\/span>for AI agents.
<\/p><\/li><\/ul>LLM Integration<\/b>
<\/p>Work with <\/span>OpenAI, Anthropic, LLaMA, Mistral<\/b>, or similar LLMs for reasoning and task automation.
<\/p><\/li>Develop <\/span>basic RAG pipelines<\/b> <\/span>with vector databases and API integrations.
<\/p><\/li><\/ul>Collaboration & Delivery<\/b>
<\/p>Work with <\/span>data engineers, platform teams, and product managers<\/b> <\/span>to integrate agents into production workflows.
<\/p><\/li>Participate in <\/span>code reviews, testing, and performance optimization<\/b>.
<\/p><\/li><\/ul>Continuous Learning<\/b>
<\/p>Stay updated with <\/span>emerging agentic AI tools, orchestration techniques, and safety best practices<\/b>.
<\/p><\/li>Contribute to <\/span>internal documentation and playbooks<\/b> <\/span>for building AI agents.
<\/p><\/li><\/ul>Skills & Qualifications<\/b>
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Technical Skills<\/b>
<\/p>Bachelor’s degree in Computer Science, AI/ML, or related field.
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1–3 years of experience in <\/span>AI/ML, back -end engineering, or LLM -based application development<\/b>.
<\/p><\/li>Proficiency in <\/span>Python<\/b>; familiarity with <\/span>LangChain or similar frameworks<\/b> <\/span>is a plus.
<\/p><\/li>Understanding of <\/span>API integration, vector databases (Pinecone, Weaviate, Milvus)<\/b>, and basic knowledge graphs.
<\/p><\/li>Experience with cloud platforms (AWS, GCP, Azure<\/b>) and containerization (Docker/Kubernetes) preferred.
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Professional Attributes<\/b>
<\/p>Curious and quick to learn new AI tools and frameworks.
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Problem -solving mindset with good debugging skills.
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Collaborative and open to feedback from senior engineers.
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Career Growth & Benefits<\/b>
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1. Continuous Learning & Growth<\/b>
<\/p>Direct mentorship from senior <\/span>Agentic AI engineers<\/b>.
<\/p><\/li>Access to AI/ML certifications and advanced tooling workshops.
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2. Recognition & Rewards<\/b>
<\/p>Performance -based incentives and recognition for innovative solutions.
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3. Work Benefits & Well -Being<\/b>
<\/p>Comprehensive medical insurance.
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Additional allowances for project -based work.
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Cab facility for women employees.
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Life at XenonStack – 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.
<\/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.
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